Position : Data Engineer ( Azure + Databricks + Fivetran /HVR)
Total Experience : 7-12 Years
Relevant Experience : 4 Years Data Engineer
Locations : India
Mode of the Work : Hybrid
Shift Timings : UK Shift : 2:00 Pm to 10:00 Pm (Or) 3:00 Pm to 11:00 Pm (Depends upon the project)
Notice Period : 0- 45 Days Serving Notice Period or Immediate
Domain : pharma, Health Care (Mandatory)
Job Description :
Build and optimize ETL/ELT workflows for structured and unstructured data. Implement data ingestion frameworks from multiple sources (APIs, databases, streaming platforms). Develop and maintain data warehouses and data lakes (Azure Data Lake Storage Gen2). Ensure data quality, integrity, and reliability through monitoring and validation processes. Work with stakeholders to understand data requirements and translate them into scalable solutions. Optimize performance and cost of Azure data services. Implement security and governance using Azure tools (RBAC, Managed Identity, Key Vault). Collaborate with data scientists, analysts,
and BI teams to support analytics workloads. Maintain proper documentation for data architecture and pipelines. Troubleshoot issues and provide production support. Design, develop, and maintain data pipelines using Azure services such as: Azure Data Factory (ADF) - Mandatory Azure Synapse Analytics- Mandatory Azure Databricks- Mandatory PythonSQL
About the Role
Build and optimize ETL/ELT workflows for structured and unstructured data.
Responsibilities
Implement data ingestion frameworks from multiple sources (APIs, databases, streaming platforms).
Develop and maintain data warehouses and data lakes (Azure Data Lake Storage Gen2).
Ensure data quality, integrity, and reliability through monitoring and validation processes.
Work with stakeholders to understand data requirements and translate them into scalable solutions.
Optimize performance and cost of Azure data services.
Implement security and governance using Azure t
📌 Cloud Engineer (India)
🏢 Business Intelli Solutions
📍 India
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