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Senior Data Engineer Databricks, ADF, PySpark

Senior Data Engineer Databricks, ADF, PySpark

Suzva Software Technologies

6 - 11 years

6 - 11 Lacs

Bengaluru / Bangalore Karnataka India

Posted:5 hours ago| Platform: Foundit logo

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Skills Required

ADLS Gen2 Key Vaults

Work Mode

On-site

Job Type

Full Time

Job Description

Key Responsibilities: Build scalable ETL pipelines and implement robust data solutions using Azure technologies. Manage and orchestrate workflows with Azure Data Factory (ADF), Databricks, ADLS Gen2, and Azure Key Vault. Design, maintain, and optimize secure and efficient data lake architectures. Collaborate with stakeholders to gather requirements and translate them into detailed technical specifications. Implement CI/CD pipelines to enable automated, seamless data deployment leveraging Azure DevOps. Monitor and troubleshoot data quality, performance bottlenecks, and scalability issues in production pipelines. Write clean, modular, and reusable PySpark code adhering to Agile development methodologies. Maintain thorough documentation of data pipelines, architecture designs, and best practices for team reuse. Must-Have Skills: 6+ years of experience in Data Engineering roles. Strong expertise with SQL, Python, PySpark, Apache Spark. Hands-on experience with Azure Databricks, Azure Data Factory (ADF), ADLS Gen2, Azure DevOps, and Azure Key Vault. Deep knowledge of data warehousing concepts, ETL development, data modeling, and governance. Familiarity with Agile software development lifecycle (SDLC) and containerization tools like Docker. Commitment to clean coding practices and maintaining high-quality codebases. Good to Have Skills: Experience with Azure Event Hubs and Logic Apps. Exposure to Power BI for data visualization. Strong problem-solving skills with a background in logic building and competitive programming.

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Senior Data Engineer Databricks, ADF, PySpark

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