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We are seeking an experienced Senior Data Engineer to design, build, and optimize scalable data pipelines across both Azure cloud and on-premises environments. The candidate should have strong experience in ETL/ELT development, data modelling, and data warehousing, along with familiarity in Power BI and other visualization tools used to support analytics teams.
Job Responsibility
Build and Manage Data Pipelines
Design Data Models & Warehouses
Optimize Existing Data Solutions
Work Across Cloud and On-Prem Platforms
Support BI & Visualization Teams
Lead and Collaborate
Leverage Multi-Platform Experience
Requirements
3-5 years of experience in Data Engineering or related fields
Strong expertise in SQL and at least one programming language (Python, Scala, or Java)
Hands-on experience with Azure data services such as Data Factory, Synapse, Databricks, Azure SQL, and Storage
Experience with on-premise data platforms, especially SQL Server and SSIS
Strong Power BI skills, including: Designing efficient data models (star schema, proper relationships), Writing optimized DAX measures, Applying best practices for performance, data loading, and semantic modeling, Supporting BI teams with dataset design and dashboard optimization
Solid experience building and maintaining ETL/ELT pipelines
Good understanding of data warehousing concepts, data governance, and data quality frameworks
Experience with version control and structured development workflows (Git, CI/CD)
Strong communication and ability to work with both technical and business teams
Excellent analytical and problem-solving abilities
Leadership qualities with mentoring experience
Ability to manage multiple projects in dynamic environments