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6 days ago
As a pivotal member of our data team, you will play a crucial role in designing, developing, and running end-to-end data pipelines on the Azure platform.
Key Responsibilities:- Design and develop comprehensive E2E data pipelines
- Handle data validation, transformation, and warehousing
- Collaborate with stakeholders to deliver actionable business insights and visualization solutions
- Work in Agile teams to deliver scalable, data-driven outcomes
Our ideal candidate has 6-10 years of experience and possesses strong expertise in building end-to-end data pipelines and delivering scalable data solutions on Azure. They must have hands-on experience with PySpark, SQL, Azure Data Factory, Databricks, Data Lake, ETL, data pipelines, data transformation, and data warehousing. Strong problem-solving and debugging skills in Microsoft environments are also essential.
Requirements:- PySpark, SQL
- Azure Data Factory (ADF), Databricks (ADB), Data Lake (ADLS Gen2)
- ETL, Data Pipelines, Data Transformation, Data Warehousing
- Hands-on with Python for data processing
- Strong problem-solving and debugging in Microsoft environments
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