IND Senior Engineer - GCC096
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 prospect to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.

Key Responsibilities:

• Develop and optimize large-scale data pipelines and workflows using Snowflake, Google Cloud, and AWS services to support data integration and storage needs.

• Lead development of complex ETL processes and SQL-based transformations to support data analysis, reporting, and advanced insights across the organization.

• Implement and enhance data solutions using AWS services (e.g., S3, EC2, Lambda, Fargate, SQS), and GCP BigQuery, STS, Cloud Functions, and Vertex AI for scalable ML and data workflows.

• Develop advanced Python scripts to automate data processing and integration, including prompt-driven interactions with generative AI models and autonomous agents.





• Collaborate with analysts and stakeholders to support data visualization needs in ThoughtSpot and Tableau, designing robust and scalable reporting solutions.

• Establish data quality standards and perform thorough validation and testing, including validation of AI-generated outputs.

• Mentor and guide junior and associate data engineers, providing technical direction and promoting best practices in AI-integrated data workflows.

• Perform code reviews, troubleshoot performance issues, and lead optimization efforts to improve data processing efficiency and scalability.

• Stay current with emerging technologies in data engineering and AI, including generative AI principles, prompt engineering, knowledge base creation, semantic layer generation, agentic frameworks, and GCP data stack tools.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field

• 2-4 years of experience in data engineering, with advanced expertise in Snow

📌 IND Senior Engineer, Data (Hyderabad)
🏢 The Hartford
📍 Hyderabad