Senior Data Engineer

Key Responsibilities:

• Construct and maintain data pipelines (ETL/ELT) from multiple data sources into centralized repositories (data warehouses, lakehouses, databases)
• Implement physical data models to support efficient storage, analysis, and data integrity
• Transform raw data into usable formats for reporting and analytics, including data cleansing and deduplication
• Integrate data from disparate systems while ensuring data quality and consistency

Required Competencies:

• Bachelor's degree in Computer Science, IT, Mathematics, or equivalent
• At least 6 years of progressive Data Engineering experience
• Strong background in ETL/ELT, data warehousing, and data modeling
• Minimum 3 years experience on Microsoft Azure, including exposure to Microsoft Fabric and Data Factory
• Proficient in PySpark or Python, T-SQL, and database technologies
• Proven experience designing and maintaining scalable data pipelines