[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-expertise-data-engineering-in":3,"job-search-\u002Fde-in\u002Fjobs-by-expertise\u002Fdata-engineering?page=2":21,"expertise-filters-\u002Fde-in\u002Fjobs-by-expertise\u002Fdata-engineering?page=2":695,"featured-jobs-\u002Fde-in\u002Fjobs-by-expertise\u002Fdata-engineering?page=2":865},{"image_path":4,"content_de":5,"content_en":6,"composite_key":19,"last_updated":20},"\u002Fimages\u002Fexpertise\u002Fdata-engineering.webp",null,{"tab1":7,"tab2":10,"tab3":13,"tab4":16},{"title":8,"content":9},"Strategic Importance","Data Engineering is the backbone of modern financial services, enabling institutions to harness vast amounts of data for actionable insights. In Indien, this expertise is pivotal for driving digital transformation and maintaining competitive advantage. The demand for data engineers is surging, with 42 open positions reflecting its critical role. Professionals skilled in data engineering often collaborate with experts in [Data Governance](\u002Fen-in\u002Fjobs-by-expertise\u002Fdata-governance), [Data Quality](\u002Fen-in\u002Fjobs-by-expertise\u002Fdata-quality), [Data Lineage](\u002Fen-in\u002Fjobs-by-expertise\u002Fdata-lineage) to ensure robust data pipelines and analytics frameworks. As financial organizations increasingly rely on data-driven decision-making, the strategic importance of data engineering cannot be overstated. It empowers businesses to optimize operations, enhance customer experiences, and mitigate risks, making it a cornerstone of innovation in the financial sector.",{"title":11,"content":12},"Top Industries & Locations","Data Engineering opportunities in Indien are concentrated in key financial hubs and industries. Leading locations include [Pune](\u002Fen-in\u002Fjobs-in-pune), [Bengaluru](\u002Fen-in\u002Fjobs-in-bengaluru), [Hyderabad](\u002Fen-in\u002Fjobs-in-hyderabad), where major financial institutions and tech companies are headquartered. These cities offer a vibrant ecosystem for data professionals, with numerous projects and career growth prospects. The top industries hiring data engineers are [Financial Services](\u002Fen-in\u002Fjobs-by-industry\u002Ffinancial-services), [Insurance](\u002Fen-in\u002Fjobs-by-industry\u002Finsurance), [Financial Markets Infrastructure](\u002Fen-in\u002Fjobs-by-industry\u002Ffinancial-markets-infrastructure), ranging from banking and financial services to insurance and fintech. These sectors require sophisticated data infrastructure to handle regulatory reporting, risk modeling, and customer analytics. As a result, data engineers in Indien can expect diverse roles across these industries, each presenting unique challenges and opportunities for innovation.",{"title":14,"content":15},"In-Demand Skills & Employers","To excel in Data Engineering in Indien, professionals must master a blend of technical and soft skills. The most sought-after skills include [Python](\u002Fen-in\u002Fjobs-by-skill\u002Fpython), [Sql](\u002Fen-in\u002Fjobs-by-skill\u002Fsql), [Ci\u002Fcd](\u002Fen-in\u002Fjobs-by-skill\u002Fcicd), which are essential for building and maintaining scalable data pipelines, performing complex transformations, and enabling advanced analytics. Employers such as [Hartford Global Services Private Limited](\u002Fen-in\u002Fcompany\u002Fhartford-global-services-private-limited), [F337 Deutsche India Private Limited, Pune Branch](\u002Fen-in\u002Fcompany\u002Ff337-deutsche-india-private-limited-pune-branch), [Refinitiv India Shared Services Private Limited](\u002Fen-in\u002Fcompany\u002Frefinitiv-india-shared-services-private-limited) are actively seeking talent with these competencies, offering competitive packages and dynamic work environments. These organizations value not only technical proficiency but also the ability to collaborate with cross-functional teams and translate business requirements into technical solutions. Staying updated with the latest tools and best practices is crucial for career advancement in this rapidly evolving field.",{"title":17,"content":18},"Career Path & Salary","A career in Data Engineering in Indien offers a rewarding trajectory with substantial financial benefits. The median salary for data engineers is INR 3500k, with a typical range of INR 2500k – INR 5000k between the 25th and 75th percentiles. Entry-level positions start around INR 0, while senior roles can command up to INR 12000k. With 42 open positions, the job market is robust, providing ample opportunities for both seasoned professionals and newcomers. Career progression often involves moving from data engineer to senior data engineer, then to lead or architect roles, with corresponding increases in responsibility and compensation. Continuous learning and certification in emerging technologies can further enhance earning potential and career growth.","expertise:data-engineering:in","2026-08-17T18:07:07.783613+02:00",{"total":22,"jobs":23},42,[24,66,149,170,244,291,334,394,418,451,473,486,513,530,560,581,595,616,648,667],{"id":25,"slug":26,"title":27,"raw_title":5,"is_featured":28,"company":29,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":32,"processed_country_iso_code_gmaps":34,"processed_home_office":36,"processed_salary_min":37,"processed_salary_max":38,"processed_salary_currency":39,"processed_salary_source":40,"processed_working_hours":41,"processed_employment_types":43,"processed_it_skills":44,"processed_it_skills_labels":47,"processed_job_expertise_skills":56,"processed_job_expertise_skills_labels":57,"max_cpc":65,"actual_cpc":65},75339,"lead-engineer-data-mg-global-services","Lead Engineer - Data",false,{"name":30,"slug":31,"logo_url":5},"M&G Global Services","mg-global-services",[33],"Pune",[35],"IN","onsite",3000000,5000000,"INR","estimated",[42],"FULL_TIME","permanent",{"azure sql":45,"azure keyvaults":46,"azure data flows":45,"azure databricks":45,"azure data factory":45,"managed identities":46,"service principals":46,"azure data lake gen 2":45},4,3,[48,49,50,51,52,53,54,55],"Azure Data Factory","Azure Data Flows","Azure Databricks","Azure Data Lake Gen 2","Azure SQL","Azure KeyVaults","Service Principals","Managed Identities",{"cloud migration":45,"data engineering":45,"data warehousing":45,"capacity planning":46,"performance tuning":46,"requirement gathering":46,"project lifecycle management":46},[58,59,60,61,62,63,64],"Data Engineering","Data Warehousing","Cloud Migration","Capacity Planning","Performance Tuning","Requirement Gathering","Project Lifecycle Management",1,{"id":67,"slug":68,"title":69,"raw_title":5,"is_featured":28,"company":70,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":73,"processed_country_iso_code_gmaps":75,"processed_home_office":76,"processed_salary_min":37,"processed_salary_max":38,"processed_salary_currency":39,"processed_salary_source":40,"processed_working_hours":77,"processed_employment_types":43,"processed_it_skills":78,"processed_it_skills_labels":79,"processed_job_expertise_skills":114,"processed_job_expertise_skills_labels":115,"max_cpc":65,"actual_cpc":65},78805,"ind-lead-engineer-data-hartford-global-services-private-limited","IND Lead Engineer, Data",{"name":71,"slug":72,"logo_url":5},"Hartford Global Services Private Limited","hartford-global-services-private-limited",[74],"Hyderabad",[35],"hybrid",[42],{"a2a":45,"mcp":45,"rdf":45,"sql":45,"ci\u002Fcd":45,"neo4j":45,"nosql":45,"aws s3":45,"cypher":45,"docker":45,"python":45,"sparql":45,"aws ec2":45,"mongodb":45,"pytorch":46,"big data":45,"dynamodb":45,"langchain":45,"langgraph":45,"snowflake":45,"aws lambda":45,"kubernetes":45,"tensorflow":46,"aws kinesis":45,"apache kafka":45,"apache spark":45,"etl\u002Felt tools":45,"gcp vertex ai":45,"spanner graph":45,"amazon neptune":45,"aws opensearch":45,"graph databases":45,"vector databases":45,"cloud technologies (aws\u002Fgcp\u002Fazure)":45},[80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113],"Python","SQL","NoSQL","Snowflake","ETL\u002FELT tools","CI\u002FCD","Big Data","Cloud Technologies (AWS\u002FGCP\u002FAzure)","Apache Spark","Apache Kafka","AWS Kinesis","Docker","Kubernetes","PyTorch","TensorFlow","Vector Databases","Graph Databases","Neo4j","Amazon Neptune","MongoDB","DynamoDB","AWS Lambda","AWS S3","AWS EC2","LangChain","LangGraph","MCP","A2A","Cypher","SPARQL","RDF","AWS OpenSearch","GCP Vertex AI","Spanner Graph",{"ai\u002Fml":45,"devops":45,"alerting":45,"analytics":45,"data mesh":45,"data lakes":45,"monitoring":45,"redundancy":45,"data fabric":45,"data catalog":45,"data domains":45,"data lineage":45,"data quality":45,"scaled agile":45,"data products":45,"generative ai":45,"data governance":45,"fault tolerance":45,"data engineering":45,"data integration":45,"data warehousing":45,"knowledge graphs":45,"agentic solutions":45,"data architecture":45,"disaster recovery":45,"semantic modeling":45,"prompt engineering":45,"incident management":45,"business intelligence":45,"reliability engineering":45,"real-time data streaming":45,"synthetic data generation":45,"insurance domain knowledge":46,"unstructured data processing":45,"retrieval-augmented generation (rag)":45},[58,116,59,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148],"Data Architecture","Data Integration","Data Lakes","Data Domains","Data Products","Business Intelligence","Data Governance","Data Quality","Data Lineage","Data Catalog","Generative AI","Retrieval-Augmented Generation (RAG)","Prompt Engineering","Semantic Modeling","Knowledge Graphs","Synthetic Data Generation","Agentic Solutions","Scaled Agile","DevOps","Reliability Engineering","Disaster Recovery","Fault Tolerance","Redundancy","Monitoring","Alerting","Incident Management","Data Mesh","Data Fabric","Unstructured Data Processing","Real-Time Data Streaming","AI\u002FML","Analytics","Insurance Domain Knowledge",{"id":150,"slug":151,"title":27,"raw_title":5,"is_featured":28,"company":152,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":153,"processed_country_iso_code_gmaps":154,"processed_home_office":36,"processed_salary_min":37,"processed_salary_max":38,"processed_salary_currency":39,"processed_salary_source":40,"processed_working_hours":155,"processed_employment_types":43,"processed_it_skills":156,"processed_it_skills_labels":157,"processed_job_expertise_skills":161,"processed_job_expertise_skills_labels":162,"max_cpc":65,"actual_cpc":65},75341,"lead-engineer-data-mg-global-services-2",{"name":30,"slug":31,"logo_url":5},[33],[35],[42],{"azure sql":45,"azure key vault":46,"azure databricks":45,"azure data factory":45,"azure data lake gen 2":45,"azure managed identities":46,"azure service principals":46},[48,50,51,52,158,159,160],"Azure Key Vault","Azure Service Principals","Azure Managed Identities",{"testing":46,"planning":46,"documentation":46,"data migration":45,"data engineering":45,"data warehousing":45,"capacity planning":46,"process adherence":46,"performance tuning":46,"release management":46,"requirement analysis":46},[58,59,163,61,62,164,165,166,167,168,169],"Data Migration","Requirement Analysis","Testing","Release Management","Process Adherence","Planning","Documentation",{"id":171,"slug":172,"title":173,"raw_title":5,"is_featured":28,"company":174,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":175,"processed_country_iso_code_gmaps":176,"processed_home_office":76,"processed_salary_min":177,"processed_salary_max":178,"processed_salary_currency":39,"processed_salary_source":40,"processed_working_hours":179,"processed_employment_types":43,"processed_it_skills":180,"processed_it_skills_labels":181,"processed_job_expertise_skills":212,"processed_job_expertise_skills_labels":213,"max_cpc":65,"actual_cpc":65},78814,"ind-staff-engineer-data-hartford-global-services-private-limited","IND Staff Engineer, Data",{"name":71,"slug":72,"logo_url":5},[74],[35],2000000,3500000,[42],{"api":46,"aws":46,"elt":46,"emr":46,"etl":46,"git":46,"sql":46,"java":46,"sdlc":46,"agile":46,"kafka":46,"scala":46,"scrum":46,"spark":46,"devops":46,"docker":46,"finops":46,"hadoop":46,"kanban":46,"python":46,"talend":46,"jenkins":46,"tableau":46,"tealium":46,"big data":46,"devsecops":46,"snowflake":46,"terraform":46,"kubernetes":46,"data studio":46,"informatica":46,"adobe analytics":46,"cloud computing":46,"data warehousing":46,"google analytics":46,"automated testing":46,"distributed systems":46,"environment management":46},[182,183,184,185,186,83,187,81,80,188,189,190,191,192,193,194,195,134,196,197,198,199,200,201,91,92,202,203,204,205,59,86,206,207,208,209,210,211],"AWS","Hadoop","EMR","Spark","Kafka","Talend","Java","Scala","Google Analytics","Adobe Analytics","Tealium","Tableau","Data Studio","Informatica","DevSecOps","Agile","Scrum","Kanban","Git","Jenkins","Terraform","API","ETL","ELT","Cloud Computing","Distributed Systems","SDLC","FinOps","Automated Testing","Environment Management",{"mentoring":45,"data mining":45,"roadmapping":45,"data analytics":45,"issue tracking":45,"tag management":45,"data structures":45,"solution design":45,"data engineering":45,"data integration":45,"devops practices":45,"access management":45,"automated testing":45,"digital analytics":45,"finops principles":45,"knowledge sharing":45,"portfolio strategy":45,"project management":45,"agile methodologies":45,"continuous delivery":45,"distributed systems":45,"cloud infrastructure":45,"emerging technologies":45,"technology evaluation":45,"big data methodologies":45,"continuous integration":45,"environment management":45,"source code management":45,"code quality management":45,"technical documentation":45,"data pipeline development":45,"technology recommendation":45,"best practices development":45,"technical requirements gathering":45,"software development life cycle (sdlc)":45},[58,214,117,215,216,217,218,219,220,221,222,223,207,224,225,226,227,228,229,230,231,232,233,234,235,210,211,236,237,238,239,240,241,242,243],"Data Pipeline Development","Data Mining","Data Structures","Data Analytics","Digital Analytics","Tag Management","Software Development Life Cycle (SDLC)","Agile Methodologies","DevOps Practices","Cloud Infrastructure","Continuous Integration","Continuous Delivery","Source Code Management","Issue Tracking","Access Management","Technical Documentation","Technical Requirements Gathering","Solution Design","Project Management","Portfolio Strategy","Roadmapping","FinOps Principles","Code Quality Management","Big Data Methodologies","Emerging Technologies","Technology Evaluation","Technology Recommendation","Best Practices Development","Mentoring","Knowledge Sharing",{"id":245,"slug":246,"title":247,"raw_title":5,"is_featured":28,"company":248,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":251,"processed_country_iso_code_gmaps":253,"processed_home_office":36,"processed_salary_min":254,"processed_salary_max":255,"processed_salary_currency":39,"processed_salary_source":40,"processed_working_hours":256,"processed_employment_types":43,"processed_it_skills":257,"processed_it_skills_labels":258,"processed_job_expertise_skills":269,"processed_job_expertise_skills_labels":270,"max_cpc":65,"actual_cpc":65},75102,"security-operations-engineer-refinitiv-india-shared-services-private-limited","Security Operations Engineer",{"name":249,"slug":250,"logo_url":5},"Refinitiv India Shared Services Private Limited","refinitiv-india-shared-services-private-limited",[252],"Bengaluru",[35],1500000,2500000,[42],{"sql":46,"apis":46,"siem":45,"excel":46,"python":46,"splunk":45,"power bi":46,"javascript":46,"powershell":46,"soar platforms":46,"automation platforms":46,"enterprise reporting tools":46},[259,260,81,261,80,262,263,264,265,266,267,268],"Splunk","Excel","Power BI","PowerShell","JavaScript","SOAR platforms","APIs","SIEM","Automation platforms","Enterprise reporting tools",{"fraud":46,"analytics":45,"resilience":46,"technology":46,"engineering":46,"data analysis":45,"cyber security":45,"risk functions":46,"case management":46,"cloud platforms":46,"computer science":46,"data engineering":46,"physical security":46,"system integration":46,"threat intelligence":46,"workflow automation":46,"ai-enabled workflows":46,"management reporting":46,"regulatory reporting":46,"requirements gathering":46,"software engineering practices":46,"enterprise integration patterns":46},[271,272,273,147,274,275,276,277,278,279,58,280,281,282,283,284,285,286,287,288,289,290],"Cyber Security","Engineering","Technology","Computer Science","Data Analysis","Requirements Gathering","Workflow Automation","System Integration","Case Management","Software Engineering Practices","Cloud Platforms","Enterprise Integration Patterns","AI-enabled Workflows","Threat Intelligence","Fraud","Physical Security","Resilience","Risk Functions","Regulatory Reporting","Management Reporting",{"id":292,"slug":293,"title":294,"raw_title":5,"is_featured":28,"company":295,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":298,"processed_country_iso_code_gmaps":299,"processed_home_office":76,"processed_salary_min":177,"processed_salary_max":178,"processed_salary_currency":39,"processed_salary_source":40,"processed_working_hours":300,"processed_employment_types":43,"processed_it_skills":301,"processed_it_skills_labels":302,"processed_job_expertise_skills":318,"processed_job_expertise_skills_labels":319,"max_cpc":65,"actual_cpc":65},72420,"technical-specialist-data-engineer-l3-as-f337-deutsche-india-private-limited-pune-branch","Technical specialist- Data Engineer (L3)​, AS",{"name":296,"slug":297,"logo_url":5},"F337 Deutsche India Private Limited, Pune Branch","f337-deutsche-india-private-limited-pune-branch",[33],[35],[42],{"gcp":45,"bash":45,"iaas":45,"java":45,"jira":45,"paas":45,"saas":45,"sdlc":45,"scala":45,"spark":45,"hp alm":45,"python":45,"airflow":45,"ai tools":45,"composer":45,"control-m":45,"hadoop hive":45,"service now":45,"shell script":45,"agile processes":45},[188,189,185,303,304,305,306,80,307,308,309,310,311,312,313,314,315,208,316,317],"Hadoop Hive","Airflow","Control-M","Composer","Bash","Shell script","GCP","IAAS","PAAS","SAAS","HP ALM","Jira","Service Now","Agile processes","AI tools",{"big data":45,"performance":45,"reliability":45,"scalability":45,"availability":45,"unit testing":45,"data analysis":45,"data modelling":45,"cloud computing":45,"problem solving":45,"data engineering":45,"quality assurance":45,"financial services":45,"release management":45,"integration testing":45,"root cause analysis":45,"software development":45,"software architecture":45,"continuous improvement":45},[320,58,86,206,321,275,322,323,166,324,325,326,327,328,329,330,331,332,333],"Software Development","Data Modelling","Quality Assurance","Software Architecture","Financial Services","Problem Solving","Root Cause Analysis","Unit Testing","Integration Testing","Continuous Improvement","Scalability","Reliability","Availability","Performance",{"id":335,"slug":336,"title":337,"raw_title":5,"is_featured":28,"company":338,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":341,"processed_country_iso_code_gmaps":343,"processed_home_office":76,"processed_salary_min":37,"processed_salary_max":38,"processed_salary_currency":39,"processed_salary_source":40,"processed_working_hours":344,"processed_employment_types":43,"processed_it_skills":345,"processed_it_skills_labels":347,"processed_job_expertise_skills":375,"processed_job_expertise_skills_labels":376,"max_cpc":65,"actual_cpc":65},71751,"ull-stack-developer-ui-backend-gcp-ai-avp-f335-deutsche-india-private-limited-bangalore-branch","ull Stack Developer (UI + Backend), GCP & AI, AVP",{"name":339,"slug":340,"logo_url":5},"F335 Deutsche India Private Limited, Bangalore Branch","f335-deutsche-india-private-limited-bangalore-branch",[342],"Bangalore",[35],[42],{"aws":46,"gcp":45,"gke":45,"llm":46,"rag":46,"java":45,"jest":346,"oidc":346,"azure":46,"ci\u002Fcd":45,"kafka":45,"react":45,"crewai":46,"drools":346,"kotlin":346,"oauth2":346,"oracle":46,"angular":45,"cypress":346,"jenkins":46,"bigquery":46,"teamcity":46,"cloud run":45,"langchain":46,"rest apis":45,"agentic ai":46,"app engine":45,"google adk":46,"javascript":45,"playwright":346,"typescript":45,"spring boot":45,"apache spark":46,"microservices":45,"github actions":46,"red hat openshift":346},2,[188,348,349,350,351,352,263,353,186,88,309,354,355,356,357,358,85,359,201,360,182,361,362,363,104,364,365,366,367,368,369,370,371,372,373,374],"Spring Boot","Microservices","React","Angular","TypeScript","REST APIs","App Engine","GKE","Cloud Run","Oracle","BigQuery","TeamCity","GitHub Actions","Azure","LLM","Agentic AI","Google ADK","CrewAI","RAG","Red Hat OpenShift","Kotlin","OAuth2","OIDC","Jest","Cypress","Playwright","Drools",{"data lineage":46,"data quality":46,"data security":46,"observability":46,"ui development":45,"fraud detection":346,"data engineering":46,"data integration":46,"payment screening":346,"performance tuning":45,"backend engineering":45,"integrity monitoring":346,"full stack development":45,"resilience engineering":45,"security best practices":45,"cloud-native development":45,"data processing pipelines":46,"data storage technologies":46,"event-driven architecture":45,"privacy-preserving design":46,"enterprise solution design":45,"payment lifecycle management":346},[377,378,379,380,381,382,62,383,384,385,386,387,117,58,388,389,390,391,392,123,124,393],"Full Stack Development","UI Development","Backend Engineering","Cloud-Native Development","Event-Driven Architecture","Data Processing Pipelines","Resilience Engineering","Security Best Practices","Observability","Enterprise Solution Design","Data Storage Technologies","Privacy-Preserving Design","Payment Screening","Fraud Detection","Integrity Monitoring","Payment Lifecycle Management","Data Security",{"id":395,"slug":396,"title":397,"raw_title":5,"is_featured":28,"company":398,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":401,"processed_country_iso_code_gmaps":403,"processed_home_office":36,"processed_salary_min":404,"processed_salary_max":404,"processed_salary_currency":39,"processed_salary_source":40,"processed_working_hours":405,"processed_employment_types":43,"processed_it_skills":406,"processed_it_skills_labels":407,"processed_job_expertise_skills":413,"processed_job_expertise_skills_labels":414,"max_cpc":65,"actual_cpc":65},52995,"avp-client-platforms-data-architect-0156-ares-operations-india-private-limited","AVP, Client Platforms - Data Architect",{"name":399,"slug":400,"logo_url":5},"Ares Operations India Private Limited","ares-operations-india-private-limited",[402],"Mumbai",[35],0,[42],{"aws":46,"gcp":46,"azure":45,"ci\u002Fcd":45,"devops":45,"data lakes":45,"databricks":45,"salesforce":45,"data modeling":45,"data quality assurance":45,"lakehouse architecture":45},[408,361,182,309,409,410,411,85,134,118,412],"Databricks","Salesforce","Data Modeling","Data Quality Assurance","Lakehouse Architecture",{"data lineage":45,"data governance":45,"data engineering":45,"data architecture":45,"vendor management":46,"project management":46,"regulatory compliance":45,"enterprise data platforms":45},[116,58,122,124,415,232,416,417],"Vendor Management","Regulatory Compliance","Enterprise Data Platforms",{"id":419,"slug":420,"title":421,"raw_title":5,"is_featured":28,"company":422,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":423,"processed_country_iso_code_gmaps":424,"processed_home_office":36,"processed_salary_min":425,"processed_salary_max":426,"processed_salary_currency":427,"processed_salary_source":40,"processed_working_hours":428,"processed_employment_types":43,"processed_it_skills":429,"processed_it_skills_labels":430,"processed_job_expertise_skills":434,"processed_job_expertise_skills_labels":435,"max_cpc":65,"actual_cpc":65},59767,"lead-data-scientist-ind201-refinitiv-india-shared-services-private-limited-2","Lead Data Scientist",{"name":249,"slug":250,"logo_url":5},[252],[35],120000,180000,"USD",[42],{"r":46,"aws":45,"sql":46,"azure":45,"ci\u002Fcd":45,"mlops":45,"python":45,"pytorch":45,"tensorflow":45,"scikit-learn":45},[80,431,81,94,93,432,182,361,433,85],"R","Scikit-learn","MLOps",{"nlp":45,"rag":45,"llms":45,"statistics":45,"data science":45,"web scraping":46,"ai governance":46,"deep learning":45,"data pipelines":45,"responsible ai":46,"cloud computing":45,"data extraction":46,"data engineering":45,"machine learning":45,"model deployment":45,"model evaluation":45,"entity recognition":46,"financial analytics":46},[436,437,438,439,440,366,441,58,206,442,443,444,445,446,447,448,449,450],"Data Science","Machine Learning","Deep Learning","NLP","LLMs","Statistics","Model Deployment","AI Governance","Financial Analytics","Web Scraping","Entity Recognition","Data Extraction","Data Pipelines","Model Evaluation","Responsible AI",{"id":452,"slug":453,"title":421,"raw_title":5,"is_featured":28,"company":454,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":455,"processed_country_iso_code_gmaps":456,"processed_home_office":36,"processed_salary_min":425,"processed_salary_max":426,"processed_salary_currency":427,"processed_salary_source":40,"processed_working_hours":457,"processed_employment_types":43,"processed_it_skills":458,"processed_it_skills_labels":459,"processed_job_expertise_skills":466,"processed_job_expertise_skills_labels":467,"max_cpc":65,"actual_cpc":65},59769,"lead-data-scientist-ind201-refinitiv-india-shared-services-private-limited-3",{"name":249,"slug":250,"logo_url":5},[252],[35],[42],{"r":46,"git":46,"nlp":45,"rag":45,"sql":46,"ci\u002Fcd":46,"mlops":45,"llmops":45,"python":45,"ai agents":46,"langchain":46,"llamaindex":46,"web scraping":46,"deep learning":45,"machine learning":45,"vector databases":46,"entity recognition":46,"large language models":45,"synthetic data techniques":46,"cloud platforms (azure\u002Faws)":45},[80,431,81,437,438,439,460,366,433,461,85,200,462,95,104,463,464,465,445,446],"Large Language Models","LLMOps","Cloud Platforms (Azure\u002FAWS)","LlamaIndex","Synthetic Data Techniques","AI Agents",{"statistics":45,"data science":45,"ai governance":46,"product vision":45,"responsible ai":45,"risk frameworks":46,"data engineering":45,"model deployment":45,"model evaluation":45,"investment banking":46,"technical strategy":45,"financial analytics":45,"regulatory compliance":46,"stakeholder engagement":45},[436,441,58,444,468,443,469,416,449,442,470,471,472,450],"Investment Banking","Risk Frameworks","Product Vision","Stakeholder Engagement","Technical Strategy",{"id":474,"slug":475,"title":421,"raw_title":5,"is_featured":28,"company":476,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":477,"processed_country_iso_code_gmaps":478,"processed_home_office":36,"processed_salary_min":425,"processed_salary_max":426,"processed_salary_currency":427,"processed_salary_source":40,"processed_working_hours":479,"processed_employment_types":43,"processed_it_skills":480,"processed_it_skills_labels":481,"processed_job_expertise_skills":484,"processed_job_expertise_skills_labels":485,"max_cpc":65,"actual_cpc":65},59737,"lead-data-scientist-ind201-refinitiv-india-shared-services-private-limited",{"name":249,"slug":250,"logo_url":5},[252],[35],[42],{"r":46,"git":46,"nlp":45,"rag":45,"sql":46,"ci\u002Fcd":45,"mlops":45,"llmops":45,"python":45,"langchain":46,"llamaindex":46,"deep learning":45,"vector databases":46,"large language models":45,"cloud platforms (aws\u002Fazure)":45,"machine learning frameworks":45},[80,431,81,482,438,439,460,366,433,461,483,85,200,95,104,463],"Machine Learning Frameworks","Cloud Platforms (AWS\u002FAzure)",{"statistics":45,"web scraping":46,"ai governance":46,"data analytics":45,"responsible ai":45,"data extraction":45,"data engineering":45,"model evaluation":45,"entity recognition":46,"financial services":46,"investment banking":346},[217,441,58,447,445,446,449,450,443,324,468],{"id":487,"slug":488,"title":489,"raw_title":5,"is_featured":28,"company":490,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":493,"processed_country_iso_code_gmaps":494,"processed_home_office":36,"processed_salary_min":495,"processed_salary_max":496,"processed_salary_currency":497,"processed_salary_source":40,"processed_working_hours":498,"processed_employment_types":43,"processed_it_skills":499,"processed_it_skills_labels":500,"processed_job_expertise_skills":504,"processed_job_expertise_skills_labels":505,"max_cpc":65,"actual_cpc":65},59639,"ftse-senior-engineering-amp-architecture-opportunities-lseg","FTSE Senior Engineering & Architecture Opportunities",{"name":491,"slug":492,"logo_url":5},"LSEG","lseg",[252],[35],70000,100000,"GBP",[42],{"c#":46,"aws":46,"c++":46,"java":46,"azure":46,"ci\u002Fcd":46,"python":46,"ai-assisted development":46},[188,80,501,502,182,361,85,503],"C++","C#","AI-assisted development",{"data engineering":46,"devops & automation":46,"software engineering":45,"ai & machine learning":46,"analytics & data platforms":46,"cloud & platform engineering":46,"site reliability engineering":46,"architecture & distributed systems":46},[506,58,507,508,509,510,511,512],"Software Engineering","Cloud & Platform Engineering","Site Reliability Engineering","AI & Machine Learning","DevOps & Automation","Architecture & Distributed Systems","Analytics & Data Platforms",{"id":514,"slug":515,"title":516,"raw_title":5,"is_featured":28,"company":517,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":518,"processed_country_iso_code_gmaps":519,"processed_home_office":36,"processed_salary_min":495,"processed_salary_max":496,"processed_salary_currency":497,"processed_salary_source":40,"processed_working_hours":520,"processed_employment_types":43,"processed_it_skills":521,"processed_it_skills_labels":522,"processed_job_expertise_skills":525,"processed_job_expertise_skills_labels":526,"max_cpc":65,"actual_cpc":65},59640,"ftse-software-engineering-amp-data-engineering-opportunities-lseg","FTSE Software Engineering & Data Engineering Opportunities",{"name":491,"slug":492,"logo_url":5},[252],[35],[42],{"c#":46,"aws":46,"c++":46,"java":46,"azure":46,"ci\u002Fcd":46,"python":46,"testing":46,"automation":46,"ai-assisted development tooling":46},[188,80,501,502,182,361,85,523,165,524],"Automation","AI-assisted development tooling",{"devops":46,"analytics":46,"architecture":46,"data platforms":46,"data engineering":46,"machine learning":46,"cloud engineering":46,"distributed systems":46,"software engineering":46,"site reliability engineering":46},[506,58,527,508,437,134,528,207,147,529],"Cloud Engineering","Architecture","Data Platforms",{"id":531,"slug":532,"title":533,"raw_title":5,"is_featured":28,"company":534,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":538,"processed_country_iso_code_gmaps":539,"processed_home_office":36,"processed_salary_min":540,"processed_salary_max":255,"processed_salary_currency":39,"processed_salary_source":40,"processed_working_hours":541,"processed_employment_types":43,"processed_it_skills":542,"processed_it_skills_labels":543,"processed_job_expertise_skills":552,"processed_job_expertise_skills_labels":553,"max_cpc":65,"actual_cpc":65},51580,"python-developer-annet-technologies-mumbai-llp","Python Developer",{"name":535,"slug":536,"logo_url":537},"Annet Technologies (Mumbai) LLP","annet-technologies-mumbai-llp","https:\u002F\u002Fwww.apexgroup.com\u002Fmedia\u002Fl05krqrh\u002Fapex-logo.svg",[402],[35],1200000,[42],{"aws":346,"css":346,"sql":46,"html":346,"azure":346,"nosql":46,"numpy":46,"scipy":46,"django":46,"pandas":46,"python":45,"pyramid":46,"pytorch":46,"javascript":346,"google cloud":346},[80,544,545,546,93,547,548,263,81,82,549,550,551,182,361],"NumPy","Pandas","SciPy","HTML","CSS","Django","Pyramid","Google Cloud",{"debugging":46,"code review":46,"data science":46,"data engineering":45,"machine learning":46,"back-end development":45,"feature prioritization":46,"artificial intelligence":46,"software development lifecycle":45},[554,58,555,556,557,558,437,436,559],"Software Development Lifecycle","Back-end Development","Code Review","Debugging","Feature Prioritization","Artificial Intelligence",{"id":561,"slug":562,"title":563,"raw_title":5,"is_featured":28,"company":564,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":567,"processed_country_iso_code_gmaps":568,"processed_home_office":36,"processed_salary_min":569,"processed_salary_max":570,"processed_salary_currency":427,"processed_salary_source":40,"processed_working_hours":571,"processed_employment_types":43,"processed_it_skills":572,"processed_it_skills_labels":573,"processed_job_expertise_skills":574,"processed_job_expertise_skills_labels":575,"max_cpc":65,"actual_cpc":65},62795,"ptsi-business-intelligence-analyst-ptsi-prudential-technology-and-services-india-private-limited","PTSI | Business Intelligence Analyst",{"name":565,"slug":566,"logo_url":5},"Prudential Technology and Services India Private Limited","prudential-technology-and-services-india-private-limited",[],[35],60000,90000,[42],{"sql":46,"excel":45,"python":46,"power bi":45},[261,260,81,80],{"benchmarking":46,"data quality":45,"data analytics":45,"trend analysis":46,"data engineering":46,"scenario modelling":46,"financial analytics":45,"workforce analytics":45,"business intelligence":45,"strategic workforce planning":46},[217,121,58,123,576,444,577,578,579,580],"Workforce Analytics","Benchmarking","Trend Analysis","Scenario Modelling","Strategic Workforce Planning",{"id":582,"slug":583,"title":584,"raw_title":5,"is_featured":28,"company":585,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":586,"processed_country_iso_code_gmaps":587,"processed_home_office":36,"processed_salary_min":588,"processed_salary_max":540,"processed_salary_currency":39,"processed_salary_source":40,"processed_working_hours":589,"processed_employment_types":43,"processed_it_skills":590,"processed_it_skills_labels":591,"processed_job_expertise_skills":593,"processed_job_expertise_skills_labels":594,"max_cpc":65,"actual_cpc":65},44401,"software-programmer-annet-technologies-mumbai-llp","Software Programmer",{"name":535,"slug":536,"logo_url":537},[402],[35],600000,[42],{"aws":346,"css":346,"sql":46,"html":346,"azure":346,"nosql":46,"numpy":46,"scipy":46,"django":346,"pandas":46,"python":45,"pyramid":346,"pytorch":46,"openpyxl":46,"javascript":346,"google cloud":346},[80,544,545,546,93,592,547,548,263,81,82,549,550,551,182,361],"Openpyxl",{"sdlc":46,"testing":46,"debugging":46,"code review":46,"data engineering":46,"machine learning":46,"software development":45},[320,58,437,556,165,557,208],{"id":596,"slug":597,"title":598,"raw_title":5,"is_featured":28,"company":599,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":600,"processed_country_iso_code_gmaps":601,"processed_home_office":36,"processed_salary_min":602,"processed_salary_max":495,"processed_salary_currency":39,"processed_salary_source":40,"processed_working_hours":603,"processed_employment_types":43,"processed_it_skills":604,"processed_it_skills_labels":605,"processed_job_expertise_skills":612,"processed_job_expertise_skills_labels":613,"max_cpc":65,"actual_cpc":65},59675,"senior-data-engineer-ind201-refinitiv-india-shared-services-private-limited","Senior Data Engineer",{"name":249,"slug":250,"logo_url":5},[252],[35],50000,[42],{"aws":45,"sql":46,"kafka":45,"nosql":46,"docker":46,"golang":45,"python":45,"datadog":46,"grafana":46,"jenkins":46,"gitlab ci":46,"prometheus":46,"restful apis":46},[606,80,182,186,81,91,201,607,608,609,610,611,82],"Golang","GitLab CI","Datadog","Grafana","Prometheus","RESTful APIs",{"ci\u002Fcd":46,"observability":46,"cloud security":46,"data modelling":45,"data engineering":45,"event-driven architecture":45,"distributed systems design":45},[58,321,614,381,85,615,385],"Distributed Systems Design","Cloud Security",{"id":617,"slug":618,"title":619,"raw_title":5,"is_featured":28,"company":620,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":621,"processed_country_iso_code_gmaps":622,"processed_home_office":36,"processed_salary_min":602,"processed_salary_max":495,"processed_salary_currency":39,"processed_salary_source":40,"processed_working_hours":623,"processed_employment_types":43,"processed_it_skills":624,"processed_it_skills_labels":625,"processed_job_expertise_skills":638,"processed_job_expertise_skills_labels":639,"max_cpc":65,"actual_cpc":65},59618,"ai-data-engineer-ind201-refinitiv-india-shared-services-private-limited","AI Data Engineer",{"name":249,"slug":250,"logo_url":5},[252],[35],[42],{"aws":45,"sql":45,"helm":46,"redis":45,"docker":45,"mlflow":46,"pandas":45,"python":45,"fastapi":45,"jenkins":46,"node.js":46,"pyspark":46,"pytorch":45,"xgboost":45,"langchain":45,"snowflake":45,"terraform":46,"clickhouse":45,"kubernetes":45,"llamaindex":45,"openai api":45,"postgresql":45,"apache kafka":45,"scikit-learn":45,"anthropic api":45,"elasticsearch":45,"github actions":46},[80,626,81,627,628,83,629,630,89,91,92,202,631,182,360,201,632,545,633,634,432,635,93,104,463,636,637],"Node.js","ClickHouse","PostgreSQL","Elasticsearch","Redis","Helm","PySpark","FastAPI","MLflow","XGBoost","OpenAI API","Anthropic API",{"ci\u002Fcd":45,"mentoring":46,"observability":45,"rag pipelines":45,"system design":45,"on-call support":46,"data engineering":45,"fine-tuning llms":46,"prompt engineering":46,"technical code reviews":46,"financial data experience":46,"llm application development":45,"machine learning engineering":45},[58,640,641,642,128,643,644,85,385,645,242,646,647],"Machine Learning Engineering","LLM Application Development","RAG Pipelines","Fine-tuning LLMs","System Design","On-call Support","Technical Code Reviews","Financial Data Experience",{"id":649,"slug":650,"title":651,"raw_title":5,"is_featured":28,"company":652,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":653,"processed_country_iso_code_gmaps":654,"processed_home_office":36,"processed_salary_min":602,"processed_salary_max":655,"processed_salary_currency":39,"processed_salary_source":40,"processed_working_hours":656,"processed_employment_types":43,"processed_it_skills":657,"processed_it_skills_labels":658,"processed_job_expertise_skills":662,"processed_job_expertise_skills_labels":663,"max_cpc":65,"actual_cpc":65},67211,"staff-software-engineerdata-scientist-hartford-global-services-private-limited","Staff Software Engineer\u002FData Scientist",{"name":71,"slug":72,"logo_url":5},[74],[35],80000,[42],{"git":46,"sql":46,"docker":346,"mlflow":346,"python":45,"pytorch":46,"azure ai":46,"langchain":346,"vertex ai":46,"tensorflow":46,"aws sagemaker":46},[80,81,93,94,200,91,659,660,661,104,634],"Vertex AI","AWS SageMaker","Azure AI",{"nlp":45,"ocr":346,"rag":45,"mlops":46,"deep learning":45,"generative ai":45,"responsible ai":46,"cloud computing":46,"data engineering":46,"document parsing":46,"machine learning":45,"model evaluation":45,"statistical modeling":45,"synthetic data generation":46},[437,664,438,439,126,366,58,433,449,131,206,665,666,450],"Statistical Modeling","Document Parsing","OCR",{"id":668,"slug":669,"title":670,"raw_title":5,"is_featured":28,"company":671,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":672,"processed_country_iso_code_gmaps":673,"processed_home_office":36,"processed_salary_min":570,"processed_salary_max":674,"processed_salary_currency":427,"processed_salary_source":40,"processed_working_hours":675,"processed_employment_types":43,"processed_it_skills":676,"processed_it_skills_labels":677,"processed_job_expertise_skills":688,"processed_job_expertise_skills_labels":689,"max_cpc":65,"actual_cpc":694},67212,"staff-engineerai-ml-engineer-hartford-global-services-private-limited","Staff Engineer\u002FAI-ML Engineer",{"name":71,"slug":72,"logo_url":5},[74],[35],130000,[42],{"c#":46,"aws":45,"ec2":46,"gcp":45,"sql":46,"hive":46,"java":46,"spark":46,"docker":46,"github":45,"hadoop":46,"python":45,"autosys":46,"jenkins":46,"anaconda":46,"bigquery":46,"redshift":46,"sagemaker":46,"snowflake":46,"streamlit":46,"terraform":46,"kubernetes":46,"tensorflow":46,"scikit-learn":46,"apache airflow":46,"cloudformation":46,"github actions":45},[80,188,502,81,182,309,678,679,201,202,680,681,360,183,185,682,683,83,358,684,685,91,92,686,94,432,687],"SageMaker","Streamlit","CloudFormation","GitHub","Hive","Redshift","Apache Airflow","Autosys","EC2","Anaconda",{"mlops":45,"insurance":46,"agile framework":46,"data engineering":45,"machine learning":45,"financial services":46,"solution architecture":45,"model development lifecycle":45},[437,433,58,690,691,692,324,693],"Solution Architecture","Model Development Lifecycle","Agile Framework","Insurance",0.3,{"industry":696,"employment_type":728,"expertise_skills":731,"it_skills":792,"salary_currency":856,"processed_working_hours":863},[697,700,703,707,710,713,716,719,722,725],{"key":698,"label":324,"count":699},"financial services",17,{"key":701,"label":693,"count":702},"insurance",14,{"key":704,"label":705,"count":706},"financial markets infrastructure","Financial Markets Infrastructure",9,{"key":708,"label":709,"count":45},"data","Data",{"key":711,"label":712,"count":45},"data provider","Data Provider",{"key":714,"label":715,"count":346},"asset management","Asset Management",{"key":717,"label":718,"count":65},"fund administration","Fund Administration",{"key":720,"label":721,"count":65},"middle office","Middle Office",{"key":723,"label":724,"count":65},"data services","Data Services",{"key":726,"label":727,"count":65},"alternative investments","Alternative Investments",[729],{"key":43,"label":730,"count":22},"PERMANENT",[732,734,737,739,741,745,747,750,752,756,758,761,764,766,769,772,774,776,779,781,783,785,788,790],{"key":733,"label":58,"slug":733,"count":22},"data-engineering",{"key":735,"label":122,"slug":735,"count":736},"data-governance",11,{"key":738,"label":123,"slug":738,"count":706},"data-quality",{"key":740,"label":124,"slug":740,"count":706},"data-lineage",{"key":742,"label":743,"slug":742,"count":744},"generative-ai","Generative Ai",8,{"key":746,"label":437,"slug":746,"count":744},"machine-learning",{"key":748,"label":117,"slug":748,"count":749},"data-integration",7,{"key":751,"label":62,"slug":751,"count":749},"performance-tuning",{"key":753,"label":754,"slug":753,"count":755},"devops","Devops",6,{"key":757,"label":121,"slug":757,"count":755},"business-intelligence",{"key":759,"label":217,"slug":759,"count":760},"data-analytics",5,{"key":762,"label":763,"slug":762,"count":760},"ai-governance","Ai Governance",{"key":765,"label":207,"slug":765,"count":760},"distributed-systems",{"key":767,"label":768,"slug":767,"count":760},"responsible-ai","Responsible Ai",{"key":770,"label":771,"slug":770,"count":760},"mlops","Mlops",{"key":773,"label":116,"slug":773,"count":760},"data-architecture",{"key":775,"label":506,"slug":775,"count":760},"software-engineering",{"key":777,"label":778,"slug":777,"count":760},"cicd","Ci\u002FCd",{"key":780,"label":393,"slug":780,"count":760},"data-security",{"key":782,"label":644,"slug":782,"count":760},"system-design",{"key":784,"label":128,"slug":784,"count":45},"prompt-engineering",{"key":786,"label":787,"slug":786,"count":45},"project-management","Project management",{"key":789,"label":321,"slug":789,"count":45},"data-modelling",{"key":791,"label":385,"slug":791,"count":45},"observability",[793,796,799,801,805,808,811,813,816,818,821,824,827,829,832,835,837,839,841,843,845,847,850,853],{"key":794,"label":80,"slug":794,"count":795},"python",36,{"key":797,"label":81,"slug":797,"count":798},"sql",31,{"key":777,"label":778,"slug":777,"count":800},21,{"key":802,"label":803,"slug":802,"count":804},"aws","Aws",19,{"key":806,"label":91,"slug":806,"count":807},"docker",15,{"key":809,"label":202,"slug":809,"count":810},"terraform",12,{"key":812,"label":83,"slug":812,"count":736},"snowflake",{"key":814,"label":815,"slug":814,"count":736},"bigquery","Bigquery",{"key":817,"label":92,"slug":817,"count":736},"kubernetes",{"key":819,"label":820,"slug":819,"count":736},"ms-azure","MS Azure",{"key":822,"label":188,"slug":822,"count":823},"java",10,{"key":825,"label":826,"slug":825,"count":823},"gcp","Gcp",{"key":828,"label":185,"slug":828,"count":706},"spark",{"key":830,"label":831,"slug":830,"count":706},"langchain","Langchain",{"key":833,"label":834,"slug":833,"count":706},"pytorch","Pytorch",{"key":836,"label":200,"slug":836,"count":744},"git",{"key":838,"label":408,"slug":838,"count":744},"databricks",{"key":840,"label":201,"slug":840,"count":744},"jenkins",{"key":842,"label":186,"slug":842,"count":749},"kafka",{"key":844,"label":88,"slug":844,"count":749},"apache-spark",{"key":846,"label":95,"slug":846,"count":749},"vector-databases",{"key":848,"label":849,"slug":848,"count":749},"tensorflow","Tensorflow",{"key":851,"label":852,"slug":851,"count":755},"scikit-learn","Scikit-Learn",{"key":854,"label":855,"slug":854,"count":755},"rag","Rag",[857,859,860,862],{"key":39,"label":39,"count":858},27,{"key":427,"label":427,"count":706},{"key":861,"label":861,"count":46},"EUR",{"key":497,"label":497,"count":46},[864],{"key":42,"label":42,"count":22},{"total":404,"jobs":866},[]]