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.