We are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines

and data platforms that enable analytics, reporting, and advanced data use cases. The role requires strong

expertise in data modeling, ETL/ELT frameworks, and performance optimization to support high-volume,

high-velocity data processing. Experience - Minimum 5+ years of hands-on experience in Data Engineering,

ETL/ELT development, and Data Warehousing Technical Skills Core Data Engineering - Strong expertise in

designing, developing, and maintaining data pipelines using ETL/ELT frameworks in SSIS, MS SQL Server

DB. - Hands-on experience with data warehousing concepts, dimensional modeling, and schema design -

Proficiency in SQL with strong focus on query optimization and performance tuning - Experience building

and managing data models, fact tables, and dimensions for analytics-ready datasets - Experience working

with batch and incremental data loads Data Platforms & Tools - Experience with relational and analytical

databases - Understanding of data quality, data validation, and data reliability frameworks Responsibilities -

Design, develop, and optimize scalable data pipelines for ingestion, transformation, and storage - Build and

maintain robust, high-performance data models to support analytics and reporting - Ensure data accuracy,

consistency, and reliability across platforms - Collaborate with BI, analytics, and business teams to

translate requirements into technical solutions Educational Qualification - Bachelor’s degree in Computer

Science, Information Technology, or a related technical discipline Timing: 12.30PM- 9.30PM