About the Company 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) : 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 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.

Qualifications Education details Required Skills Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, Python, SQL Preferred Skills None specified Pay range and compensation package Not specified Equal Chance Statement We are committed to diversity and inclusivity.

📌 Cloud Engineer (Maharashtra)
🏢 Business Intelli Solutions
📍 Maharashtra