
Azure Databricks/PySpark Developer
2 weeks ago
Key Responsibilities :
- Design, develop, and maintain scalable data pipelines and ETL/ELT processes using PySpark, SQL, and Python.
- Build and manage data workflows on Azure Data Lake, Azure Data Factory (ADF), and Databricks.
- Collaborate with data scientists, analysts, and other stakeholders to understand data needs and ensure data quality and availability.
- Implement data modeling, transformation, and integration solutions from various structured and unstructured data sources.
- Design and implement CI/CD pipelines for data engineering projects using industry best practices.
- Monitor and optimize performance of data systems, ensuring high availability and reliability.
- Document data workflows, schemas, and architectures to support knowledge sharing and maintenance.
- Actively participate in code reviews and contribute to a culture of continuous improvement.
- Communicate effectively with technical and non-technical stakeholders, translating business requirements into technical Qualifications :
- 6+ years of hands-on experience in Data Engineering.- Proficiency in SQL, Python, and PySpark for data processing and transformation.
- Experience working with Azure Data Lake Storage, Azure Data Factory, and Databricks.
- Solid understanding of data warehousing concepts, data modeling, and data integration.
- Experience with CI/CD tools and deployment practices (e.g., Azure DevOps, Git, Jenkins).
- Strong analytical, problem-solving, and debugging skills.
- Excellent verbal and written communication skills.
- Strong team player with the ability to work independently when needed
(ref:hirist.tech)-
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