Job Description
- 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
- 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 e...
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