Data & Analytics Engineer
EXL (company site, opens in a new tab)5–9 yrsGurugramOn-siteDirect career pageEst. 12–20 LPA
Posted on 9 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design and implement scalable analytical solutions and enterprise reporting structures using AWS Redshift, S3, SQL, and data modeling best practices.
- Build and optimize ETL workflows, ingestion pipelines, and deliver high-performing analytical data models and visualizations with Microsoft Power BI.
- Drive enterprise-wide analytics initiatives, including data preparation, schema testing, data quality checks, and collaborate with business and technical teams to provide strategic insights.
Minimum Requirements
- 5-9 years of experience with Azure/AWS, Microsoft Power BI, SQL, analytical data modeling, data visualization, and analytics engineering frameworks.
- Strong hands-on expertise in end-to-end modern data warehouse build, including SQL scripting, complex query writing, stored procedures, and transformation processes.
- Experience with AWS Redshift, S3, ETL pipelines, Slowly Changing Dimensions (SCD), Change Data Capture (CDC), dimensional and relational modeling techniques.
- Work Experience Required: 5-9 years
Ideal Candidate Profile
- Experienced analytics engineer with a track record of building scalable enterprise data products and implementing modern data warehouse solutions.
- Proficient in SQL performance tuning and optimization, with solid understanding of data modeling concepts and analytics architecture.
- Preferably has domain experience in Insurance Analytics or Financial Analytics and familiarity with insurance data structures and finance processes within insurance.