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Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future. Accountable for building small or medium scale pipeline and data products. Provides end-to-end solution delivery involving multiple platforms and technologies with small to medium complexity, leveraging ELT solutions to acquire, integrate, and operationalize data Provides input to influence solution design Build and implement capabilities for continuous integration  and continuous delivery aligned with Enterprise DevOps practices Accountable for data engineering practices (e.g. Source code management, branching, issue tracking, access, etc.) followed for the product Provide documentation and operating guidance for users of all levels. Document technical requirements and present technical concepts to audiences of varying size and level Research, experiment, and utilize leading big data methodologies (AWS, Hadoop\u002FEMR, Spark, Kafka, Snowflake and Talend) with cloud\u002Fon premise hybrid hosting solutions, on a project level Implement, and test data processing pipelines, and data mining on a variety of hosted settings (AWS, Client technology stacks) Stay up-to-date on emerging data and analytics technologies, tools, techniques, and frameworks. Evaluate, recommend, and influence technology-based decisions for tools and frameworks for effective delivery  Support the development and implementation of project and portfolio strategy, roadmaps and implementations Knowledge, Skills, and Abilities  Good working Technical Knowledge (Cloud data pipelines and data consumption products) Ability to communicate at all levels within the digital analytics team and influence team leadership Ability to work with cross-functional teams and translate requirements between business, project management and technical projects or programs Team player with transformation mindset Ability to operate successfully in a lean and fast-paced organization, leveraging Scaled Agile principles and ways of working Must be able to collaborate across teams; demonstrate effective decision making, conflict resolution and relationship building Ability to troubleshoot and resolve problems across the technology stack with guidance Experience with data structures and services with APIs Ability to collaborate with the team to mature code quality management, FinOps principles, automated testing, and environment management practices to deliver incremental customer value Develops and promotes best practices for continuous improvement Should have working knowledge and understanding of DevOps technology stack and standard tools\u002Fpractices Education, Experience, Certifications and Licenses           Minimum Qualifications:  Data engineering experience with demonstration of best practices in Programming, SDLC practices, Distributed systems Developing and operating production workloads in cloud infrastructure Focus on action and iterative deployment practices Proven experience with software development life cycle (SDLC) and knowledge of agile\u002Fiterative methodologies and toolsets Strong written and verbal communication skills Ability to execute independently                Preferred Qualifications: Tag management system experience, Tealium iQ preferred Digital Analytics analysis and reporting tools experience - such as Google Analytics, Adobe Analytics and Tealium AudienceStream ETL tools (Talend Studio, Informatica) Reporting tools (Tableau, Data Studio) Cloud Technologies (AWS, EMR, S3) Data warehousing solutions (Snowflake, SnowSight, SQL) An understanding of the practical application of DevSecOps and Agile methodologies Certifications\u002FLicenses (as applicable) About Us | Our Culture | What It’s Like to Work Here Every day, a day to do right. Showing up for people isn’t just what we do. It’s who we are – and have been for more than 200 years. We’re devoted to finding innovative ways to serve our customers, communities and employees—continually asking ourselves what more we can do. Is our policy language as simple and inclusive as it can be? Can we better help businesses navigate our ever-changing world? What else can we do to destigmatize mental health in the workplace? Can we make our communities more equitable? That we can rise to the challenge of these questions is due in no small part to our company values that our employees have shaped and defined. And while how we contribute looks different for each of us, it’s these values that drive all of us to do more and to do better every day. About Us Our Culture What It’s Like to Work Here Perks & Benefits Legal Notice Accessibility Statement Producer Compensation EEO Privacy Policy California Privacy Policy Your California Privacy Choices International Privacy Policy Canadian Privacy Policy Unincorporated Areas of LA County, CA (Applicant Information) MA Applicant Notice Hartford India Prospective Personnel Privacy Notice Electronic Monitoring Policy",{"@type":18,"name":9},"Organization","2026-09-06","2027-09-06",[22],{"@type":23,"address":24,"geo":28},"Place",{"@type":25,"addressLocality":26,"addressCountry":27},"PostalAddress","Hyderabad","IN",{"@type":29,"latitude":30,"longitude":31},"GeoCoordinates",17.3982116,78.3748513,"HYBRID",[34],"PERMANENT",[36],"Insurance",[38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,71,104,105,106,107,108,109,110,111,112,113,114,115,74,75,116,117,118,119,120,121,122,123],"AWS","Hadoop","EMR","Spark","Kafka","Snowflake","Talend","SQL","Python","Java","Scala","Google Analytics","Adobe Analytics","Tealium","Tableau","Data Studio","Informatica","DevOps","DevSecOps","Agile","Scrum","Kanban","Git","Jenkins","Docker","Kubernetes","Terraform","API","ETL","ELT","Data Warehousing","Big Data","Cloud Computing","Distributed Systems","SDLC","FinOps","Automated Testing","Environment Management","Communication","Teamwork","Collaboration","Decision Making","Conflict Resolution","Relationship Building","Problem Solving","Troubleshooting","Adaptability","Influence","Leadership","Continuous Improvement","Documentation","Presentation","Cross-functional Collaboration","Agile Mindset","Data Engineering","Data Pipeline Development","Data Integration","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",{"@type":125,"currency":126,"value":127},"MonetaryAmount","INR",{"@type":128,"minValue":129,"maxValue":130,"unitText":131},"QuantitativeValue",2000000,3500000,"YEAR",[30],[31],"permanent",[136],"FULL_TIME",[136],"hybrid","estimated",[],[],"insurance",[144],"hartford, india gcc-puppalaguda village, india",[146],"Puppalguda, Hyderabad, Telangana, Indien",[],[26],[],[151],"Indien",[27],"# IND Staff Engineer - GCC091\n\nWe’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.\n\n- Accountable for building small or medium scale pipeline and data products.\n- Provides end-to-end solution delivery involving multiple platforms and technologies with small to medium complexity, leveraging ELT solutions to acquire, integrate, and operationalize data\n- Provides input to influence solution design\n- Build and implement capabilities for continuous integration  and continuous delivery aligned with Enterprise DevOps practices\n- Accountable for data engineering practices (e.g. Source code management, branching, issue tracking, access, etc.) followed for the product\n- Provide documentation and operating guidance for users of all levels.\n- Document technical requirements and present technical concepts to audiences of varying size and level\n- Research, experiment, and utilize leading big data methodologies (AWS, Hadoop\u002FEMR, Spark, Kafka, Snowflake and Talend) with cloud\u002Fon premise hybrid hosting solutions, on a project level\n- Implement, and test data processing pipelines, and data mining on a variety of hosted settings (AWS, Client technology stacks)\n- Stay up-to-date on emerging data and analytics technologies, tools, techniques, and frameworks.\n- Evaluate, recommend, and influence technology-based decisions for tools and frameworks for effective delivery \n- Support the development and implementation of project and portfolio strategy, roadmaps and implementations\n\n## Knowledge, Skills, and Abilities \n\n- Good working Technical Knowledge (Cloud data pipelines and data consumption products)\n- Ability to communicate at all levels within the digital analytics team and influence team leadership\n- Ability to work with cross-functional teams and translate requirements between business, project management and technical projects or programs\n- Team player with transformation mindset\n- Ability to operate successfully in a lean and fast-paced organization, leveraging Scaled Agile principles and ways of working\n- Must be able to collaborate across teams; demonstrate effective decision making, conflict resolution and relationship building\n- Ability to troubleshoot and resolve problems across the technology stack with guidance\n- Experience with data structures and services with APIs\n- Ability to collaborate with the team to mature code quality management, FinOps principles, automated testing, and environment management practices to deliver incremental customer value\n- Develops and promotes best practices for continuous improvement\n- Should have working knowledge and understanding of DevOps technology stack and standard tools\u002Fpractices\n\n## Education, Experience, Certifications and Licenses          \n\n### Minimum Qualifications: \n\n- Data engineering experience with demonstration of best practices in Programming, SDLC practices, Distributed systems\n- Developing and operating production workloads in cloud infrastructure\n- Focus on action and iterative deployment practices\n- Proven experience with software development life cycle (SDLC) and knowledge of agile\u002Fiterative methodologies and toolsets\n- Strong written and verbal communication skills\n- Ability to execute independently               \n\n### Preferred Qualifications:\n\n- Tag management system experience, Tealium iQ preferred\n- Digital Analytics analysis and reporting tools experience - such as Google Analytics, Adobe Analytics and Tealium AudienceStream\n- ETL tools (Talend Studio, Informatica)\n- Reporting tools (Tableau, Data Studio)\n- Cloud Technologies (AWS, EMR, S3)\n- Data warehousing solutions (Snowflake, SnowSight, SQL)\n- An understanding of the practical application of DevSecOps and Agile methodologies\n- Certifications\u002FLicenses (as applicable)\n\n## About Us | Our Culture | What It’s Like to Work Here\n\nEvery day, a day to do right. Showing up for people isn’t just what we do. It’s who we are – and have been for more than 200 years. We’re devoted to finding innovative ways to serve our customers, communities and employees—continually asking ourselves what more we can do. Is our policy language as simple and inclusive as it can be? Can we better help businesses navigate our ever-changing world? What else can we do to destigmatize mental health in the workplace? Can we make our communities more equitable? That we can rise to the challenge of these questions is due in no small part to our company values that our employees have shaped and defined. And while how we contribute looks different for each of us, it’s these values that drive all of us to do more and to do better every day.\n\n- About Us\n- Our Culture\n- What It’s Like to Work Here\n- Perks & Benefits\n- Legal Notice\n- Accessibility Statement\n- Producer Compensation\n- EEO\n- Privacy Policy\n- California Privacy Policy\n- Your California Privacy Choices\n- International Privacy Policy\n- Canadian Privacy Policy\n- Unincorporated Areas of LA County, CA (Applicant Information)\n- MA Applicant Notice\n- Hartford India Prospective Personnel Privacy Notice\n- Electronic Monitoring Policy",{"api":155,"aws":155,"elt":155,"emr":155,"etl":155,"git":155,"sql":155,"java":155,"sdlc":155,"agile":155,"kafka":155,"scala":155,"scrum":155,"spark":155,"devops":155,"docker":155,"finops":155,"hadoop":155,"kanban":155,"python":155,"talend":155,"jenkins":155,"tableau":155,"tealium":155,"big data":155,"devsecops":155,"snowflake":155,"terraform":155,"kubernetes":155,"data studio":155,"informatica":155,"adobe analytics":155,"cloud computing":155,"data warehousing":155,"google analytics":155,"automated testing":155,"distributed systems":155,"environment management":155},3,[38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75],{"communication":158,"teamwork":158,"collaboration":158,"decision making":158,"conflict resolution":158,"relationship building":158,"problem solving":158,"troubleshooting":158,"adaptability":158,"influence":158,"leadership":158,"continuous improvement":158,"documentation":158,"presentation":158,"cross-functional collaboration":158,"agile mindset":158},4,[76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91],{"mentoring":158,"data mining":158,"roadmapping":158,"data analytics":158,"issue tracking":158,"tag management":158,"data structures":158,"solution design":158,"data engineering":158,"data integration":158,"devops practices":158,"access management":158,"automated testing":158,"digital analytics":158,"finops principles":158,"knowledge sharing":158,"portfolio strategy":158,"project management":158,"agile methodologies":158,"continuous delivery":158,"distributed systems":158,"cloud infrastructure":158,"emerging technologies":158,"technology evaluation":158,"big data methodologies":158,"continuous integration":158,"environment management":158,"source code management":158,"code quality management":158,"technical documentation":158,"data pipeline development":158,"technology recommendation":158,"best practices development":158,"technical requirements gathering":158,"software development life cycle (sdlc)":158},[92,93,94,95,96,97,98,99,100,101,102,103,71,104,105,106,107,108,109,110,111,112,113,114,115,74,75,116,117,118,119,120,121,122,123],{"detected_language_jobad":163,"required":164},"en",[165],[166],{"language":167,"level":168},"ENGLISH","C1",5,[171,172],"Software and Applications Development and Analysis","Database and Network Professionals",[171,172],"https:\u002F\u002Fthehartford.wd5.myworkdayjobs.com\u002Fen-us\u002Fcareers_external\u002Fjob\u002Findia-gcc-puppalaguda-village\u002Find-staff-engineer--data_r2626899-1",1]