Azure Databricks/PySpark Developer

2 weeks ago


Hyderabad, India JRD Systems Private Ltd Full time

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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