Key skills
HadoopHDFSSparkSQLData WarehousingAnalytics
About this role
Role Overview
- Design and maintain conceptual, logical, and physical data models
- Develop scalable dimensional for analytics and reporting
- Collaborate with data architects and engineers to align models with platform and architectural standards
- Translate business requirements into high-quality, reusable data structures
- Ensure data consistency, integrity, and performance across data layers
- Support impact analysis, data lineage, and metadata documentation
Requirements
- 7+ years of experience in data modeling for large-scale data platforms
- Strong expertise in dimensional modeling, normalized and denormalized designs
- Hands-on experience modeling data on Hadoop ecosystems (Hive, HDFS, Impala, Spark SQL)
- Advanced SQL skills and deep understanding of analytical query patterns
- Experience working closely with data architects and engineering teams
- Strong understanding of data warehousing and analytics use cases
Tech Stack
- Hadoop
- HDFS
- Spark
- SQL
Benefits
- EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process and has not authorized any agencies or partners to collect any fee or payment from prospective candidates. EXL will only extend a job offer after a candidate has gone through a formal interview process with members of EXL’s Human Resources team, as well as our hiring managers.