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.

- Robust 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.

About Us | Our Culture | What It’s Like to Work Here

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