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 opportunity 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 Snowflake, SQL, and ETL processes. + Solid proficiency in Python for complex data processing, automation, and integration tasks, including **prompt engineering for generative AI workflows** . + Hands-on experience with AWS services (e.g., S3, EC2, Lambda, Fargate); experience with **GCP data tools** such as **BigQuery** , **Cloud Functions** , and **Vertex AI** is highly desirable. + Experience in managing and deploying CICD pipelines across data and cloud platform services using Jenkins, Terraform, Harness and ADK + Proficiency with data visualization tools, particularly ThoughtSpot, for supporting scalable and impactful reporting. + Experience in Informatica or similar ETL tools, with the ability to lead data integration and transformation efforts. + Experience implementing **generative AI solutions** , including model orchestration, output validation, and integration into data workflows. + Familiarity with **agentic AI frameworks** and autonomous data orchestration tools. + Strong problem-solving skills with a focus on data quality, accuracy, and efficiency. + Excellent communication skills, with the ability to work collaboratively across teams and present technical concepts to non-technical stakeholders. + Proven experience mentoring and leading junior team members, with a commitment to fostering a collaborative team environment.

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