IND Staff Engineer - GCC091 We'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. 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/EMR, Spark, Kafka, Snowflake and Talend) with cloud/on 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?_ + Valuable 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/practices _Education, Experience, Certifications and Licenses??????????_ Minimum Qualifications: + ?6 to 9 years of software development or data engineering experience with demonstration of best practices in Programming, SDLC practices, Distributed systems + 1+ years of 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/iterative 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/Licenses (as applicable)

📌 IND Staff Data Engineer (Hyderabad)
🏢 The Hartford
📍 Hyderabad