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 .  

• H ands-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, Terr aform, 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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