Description

You will design and develop scalable data pipelines and BI solutions to support enterprise data initiatives.

Responsibilities

• Translate stakeholder use cases into functional data integration routines.
• Execute data analysis, mapping, transformation, and ETL processes between systems.
• Design and maintain database objects including tables, views, indexes, and security protocols.
• Optimize data warehouse performance, batch processing, and parallelization.
• Document data flows, source-to-target mappings, and technical processes.
• Support audit control, data validation, cleansing, and process monitoring.
• Use GitHub for version control and participate in CI/CD pipelines.
• Mentor junior developers on data-related best practices.

Required Skills

• 5+ years of experience in Data Warehousing and Business Intelligence.
• 3+ years of BI development using Microsoft SQL Server with expert-level T-SQL.
• 5+ years of experience with SSIS and stored procedures.
• 5+ years of experience with Azure Data Factory, SQL VMs, and building/maintaining ETL.
• 2+ years of Power BI development and dashboarding.
• Strong understanding of conceptual, logical, and physical data modeling, including EDW and data marts.
• Deep knowledge of relational databases and SQL programming.
• Bachelor's degree in Computer Science, Information Technology, or a related field.

Preferred Skills

• 1–2 years of experience with Azure Synapse / Azure Data Warehouse.
• Experience building and maintaining ETL in a Data Lake environment.

Key Skills

Education

Bachelor's degree