IND Staff Data Engineer
The Hartford (company site, opens in a new tab)6–9 yrsOn-siteDirect career pageEst. 20–35 LPA
Posted on 6 Sept
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Job description
Structured overview of role & requirements
About This Role
- Build and deliver small to medium scale data pipelines and products using ELT solutions across multiple platforms and technologies.
- Implement continuous integration and delivery capabilities following Enterprise DevOps practices and data engineering standards including source code management and issue tracking.
- Research and apply emerging big data technologies (AWS, Hadoop/EMR, Spark, Kafka, Snowflake, Talend) in cloud/on-premise hybrid environments; support project and portfolio strategy development.
Minimum Requirements
- 6 to 9 years of software development or data engineering experience demonstrating best practices in programming, SDLC, and distributed systems.
- At least 1 year of experience developing and operating production workloads on cloud infrastructure.
- Strong knowledge of cloud data pipelines, APIs, DevOps technology stacks, and agile/iterative methodologies.
- Strong written and verbal communication skills; ability to work independently and collaborate with cross-functional teams.
Ideal Candidate Profile
- Experienced in building and operating data solutions in hybrid cloud environments (AWS and on-premises) with familiarity in big data frameworks and cloud data warehousing.
- Skilled in applying DevOps practices, continuous integration/delivery, and quality/code management within lean and fast-paced agile teams.
- Able to communicate effectively with technical and non-technical stakeholders and influence solution design and technology decisions.