Job Description
- Design, develop, and maintain ETL pipelines using Azure Data Factory, ensuring efficient data flow and transformation
- Utilize Databricks for data processing tasks, leveraging PySpark for advanced data manipulation and analysis
- Develop and optimize ETL processes within Azure Synapse Analytics, focusing on performance and scalability
- Apply expertise in MS SQL Server for data modeling, implementing stored procedures and analytical views to support business requirements
- Create visually appealing and insightful reports using Microsoft Power BI, enabling stakeholders to derive actionable insights from the data
Qualifications
- At least 5 years of professional experience in data engineering
- Advanced experience with enterprise Data Warehouse modeling
- Experience with Complex ETL process implementation
- Experience with Power BI Data Modeling and Reporting (DAX, Power Query, Dashboards Design)
- Experience with SQL Development (both MS SQL and Oracle)
- Solid experience with Azure Synapse/Data Factory Pipelines, Azure Notebooks/Databricks
- Familiarity with Cloud stack technology (AWS, Airflow)
- Deep understanding of SAP BW/HANA Modeling, SAP ECC/S4 Corporate Data Extraction
- Experience with PySpark Data Processing
- Experience with CI/CD
- At least Upper - Intermediate level of written and spoken English
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