IND Senior Engineer, Data

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.

• Strong 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.

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