DE&A - Core - Advanced Data Engineering - Advanced Data Engineering (Other)

We are seeking a Data Engineer to support the development of a scalable, enterprise-wide data platform for a leading insurance client. The role involves building and maintaining batch and real-time data pipelines, enabling self-service analytics (Power BI), and contributing to report rationalization initiatives. The candidate will work with a modern cloud stack including Snowflake, DBT, AWS Glue, and Amazon Kinesis, ensuring efficient data ingestion, transformation, and optimization across Raw, Silver, and Gold layers.

Key Responsibilities

Data Ingestion & Processing Develop and maintain batch data pipelines using AWS Glue Build and support real-time data ingestion pipelines using Amazon Kinesis Integrate data from multiple insurance systems (policy, claims, billing, third-party sources) Data Transformation & Modeling Implement transformations using DBT across Raw, Silver, and Gold layers Create scalable data models to support reporting and analytics use cases Ensure consistent, reusable, and well-documented data assets Data Platform Support Work on Snowflake-based data warehouse to manage and optimize data storage and access Support medallion architecture implementation (Raw → Silver → Gold) Collaborate with senior engineers and architects on platform enhancements Reporting Enablement & Rationalization Support Power BI self-service reporting by delivering curated, high-quality datasets Assist in report rationalization efforts, identifying redundant or inefficient reports Align data models to business KPIs and insurance domain requirements Pipeline Optimization Monitor and optimize data pipelines for performance, scalability, and cost efficiency Troubleshoot data issues, bottlenecks, and failures in pipelines Apply best practices in query tuning and data processing efficiency Data Quality & Governance Implement and maintain data validation and quality checks Ensure adherence to data governance standards and controls Support audit and reconciliation requirements Required Skills & Experience Technical Skills Hands-on experience with: Snowflake (data warehousing basics, querying, optimization) DBT (transformations, models, testing) AWS Glue (batch ETL pipelines) Amazon Kinesis (real-time streaming) Strong proficiency in SQL and basic data modeling concepts Programming knowledge in Python (preferred) Analytics & Reporting Exposure to Power BI for data consumption and reporting Understanding of data structures for analytics use cases Optimization & Troubleshooting Ability to identify and resolve pipeline performance issues Basic understanding of cost optimization techniques in cloud environments Domain Knowledge (Preferred) Experience in Insurance domain (policy, claims, underwriting, billing) Familiarity with enterprise data ecosystems and reporting needs in insurance Experience 3–6 years of experience in Data Engineering / ETL Development Experience working on cloud-based data platforms Key Success Metrics Reliability and performance of data pipelines Data quality and consistency across layers Timely delivery of curated datasets for reporting Contribution to report rationalization and platform efficiency At Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus. Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore Life at Zensar and join us to Grow. Own. Achieve. Learn. to be the best version of yourself. We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status. Apply To This Job