Job Summary

We are looking for a skilled Azure Data Engineer with hands-on experience in building scalable and cost-effective data engineering solutions on Microsoft Azure. The ideal candidate should have solid expertise in PySpark, SQL, Azure Synapse Analytics, and Azure Databricks, along with experience in end-to-end data engineering projects.

Key Responsibilities
Design, develop, and maintain scalable data pipelines using Azure Databricks, PySpark, SQL, and Azure Synapse Analytics.
Build robust and cost-effective ETL/ELT solutions on the Azure Data & Analytics platform.
Develop data ingestion, transformation, and processing pipelines for structured and unstructured data.
Optimize data workflows for performance, scalability, and reliability.
Collaborate with business stakeholders to gather requirements and deliver data solutions.




Ensure adherence to client IT processes, security standards, and best practices.
Perform data validation, testing, troubleshooting, and production support.
Participate in code reviews and maintain technical documentation.

Must-Have Skills
3–4 years of experience in Data Engineering.
Solid hands-on experience in Azure Databricks.
Proficiency in PySpark and SQL.
Experience with Azure Synapse Analytics.
Hands-on experience delivering end-to-end data engineering projects.
Experience building scalable and cost-effective data pipelines on Azure.
Solid analytical and problem-solving skills.

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📌 Azure Data Engineer Mumbai (India)
🏢 Zorba Consulting India
📍 India