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 strong 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.
- Strong 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.

-

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