IND Associate Engineer, Data
The Hartford (company site, opens in a new tab)On-siteDirect career pageEst. 18–35 LPA
Posted 21h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead design and implementation of large-scale real-time data streaming and AI data pipelines using technologies like Apache Kafka, AWS Kinesis, and Spark streaming.
- Develop and maintain scalable data and AI-driven systems supporting GenAI, including Retrieval-Augmented Generation architectures and knowledge graph solutions.
- Drive AI data engineering productivity improvements, mentor junior engineers, and collaborate with cross-functional teams to integrate data solutions into operational processes.
Minimum Requirements
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related field.
- Strong experience in data engineering including SQL/NoSQL, Snowflake, ETL/ELT, Big Data, and cloud technologies like AWS/GCP/Azure.
- Proven experience building production-grade GenAI data solutions, handling structured, semi-structured, and unstructured data, with skills in Python, Spark, and cloud platform services.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Expertise in data architecture and engineering with focus on AI/GenAI pipelines and semantic modeling using graph and vector databases.
- Experience working in agile, lean environments employing scaled agile principles, with demonstrated leadership in mentoring and cross-team collaboration.
- Technical proficiency to translate complex AI and data engineering challenges into scalable business solutions aligned with organizational strategy.