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2 days ago
We are seeking an experienced data engineering professional with a strong background in designing and delivering scalable data solutions on Azure. As a Data Engineer, you will be responsible for building end-to-end data pipelines, handling data validation, transformation, and warehousing, collaborating with stakeholders for business insights and visualization solutions, and working in Agile teams to deliver data-driven outcomes.
Key Responsibilities:- Design and develop complete E2E data pipelines using PySpark and SQL.
- Collaborate with stakeholders to identify business needs and develop data-driven solutions.
- Work closely with cross-functional teams to design and implement data warehouses and data lakes.
- Develop and maintain high-quality data pipelines, ensuring efficient data processing and storage.
Requirements:
- Strong experience in data engineering and architecture.
- Hands-on experience with Azure Data Factory (ADF), Databricks (ADB), and Data Lake (ADLS Gen2).
- Proficiency in Python programming and data processing techniques.
- Excellent problem-solving and debugging skills in Microsoft environments.
- A dynamic and collaborative work environment.
- Opportunities for growth and professional development.
- A competitive compensation package.
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