IND Staff Engineer, Data
The Hartford (company site, opens in a new tab)On-siteDirect career pageEst. 30–50 LPA
Posted on 6 Sept
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Job description
Structured overview of role & requirements
About This Role
- Own end-to-end delivery of small to medium scale data pipelines and products using multiple platforms and technologies, including ELT solutions.
- Implement and maintain data engineering best practices including source code management, branching, issue tracking, and access controls for data products.
- Research, evaluate, and apply big data methodologies and cloud/hybrid hosting solutions (AWS, Hadoop/EMR, Spark, Kafka, Snowflake, Talend) aligned with Enterprise DevOps practices.
Minimum Requirements
- Demonstrated data engineering experience with programming, SDLC best practices, and distributed systems.
- Experience developing and operating production workloads on cloud infrastructure, preferably AWS.
- Strong verbal and written communication skills with the ability to work cross-functionally and translate between business and technical teams.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in delivering data pipelines and data products in an agile and lean environment, familiar with Scaled Agile principles.
- Ability to operate across technical stacks including big data tools, cloud platforms, and DevOps toolchains with a transformation mindset.
- Effective collaborator capable of influencing leadership and cross-functional teams to mature practices in code quality, automated testing, and environment management.