IND Senior Engineer, Data
The Hartford (company site, opens in a new tab)HyderabadOn-siteDirect career pageEst. 22–35 LPA
Posted on 8 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead design and implementation of scalable, real-time data streaming and AI data pipelines integrating structured, semi-structured, and unstructured data for AI and agentic solutions.
- Develop and manage data domains, products, knowledge graphs, and semantic layers supporting AI/ML and analytics, ensuring governance, reliability, and operational excellence.
- Drive AI-driven data engineering innovations such as Retrieval-Augmented Generation (RAG) pipelines, synthetic data generation, and productivity improvements including automated data quality and DevOps practices.
Minimum Requirements
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related field.
- Strong experience in data engineering with expertise in data architecture, cloud platforms (AWS/GCP/Azure), Snowflake, ETL/ELT, Python/Spark, and data governance.
- Hands-on experience building production-grade GenAI data solutions including AI pipelines, semantic modeling, RAG implementation, and prompt engineering techniques.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced leader in complex data ecosystems who can influence AI and data pipeline strategy while ensuring scalability and integrity.
- Deep domain expertise in building AI-driven data infrastructures integrating multiple data types and supporting advanced AI applications such as agentic solutions.
- Proven ability to mentor junior engineers and collaborate effectively across teams in fast-paced, agile environments deploying modern cloud and AI technologies.