
Data Pipeline Developer
7 days ago
The ideal candidate will possess a strong expertise in crafting and refining data pipelines within the Azure ecosystem, with a focus on designing, developing, and managing robust data pipelines using Azure Data Factory (ADF) and Microsoft Fabric components.
Responsibilities will include designing and developing data pipelines that ensure high data quality and integrity through meticulous transformation, cleansing, and validation using Python and PySpark.
- Implement and optimize full and incremental data load strategies for large-scale data migration projects.
- Develop and manage complex SQL queries, stored procedures, and scripts for data extraction and loading.
- Collaborate extensively with cross-functional teams to align data migration activities with business objectives.
Qualifications and skills required include 5-6 years of hands-on experience in data engineering, data migration, and ETL development.
Strong expertise is needed in Azure Data Factory (ADF), including pipeline design, performance tuning, and exception handling.
- Proficiency in SQL and experience with SQL Server database design and optimization are necessary.
- Experience with Azure Storage solutions (Blob & ADLS Gen2) is also required.
- Knowledge of Python and PySpark for data transformation and cleansing is a must.
- Familiarity with Microsoft Fabric components (Dataflows, Pipelines, Lakehouse, and Warehouse) is highly desirable.
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