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Job Description

We are looking for a skilled Data Engineer with proficiency in Azure Cloud (ADF, Synapse), Databricks, PySpark, and SQL modernization to build scalable data pipelines and Lakehouse solutions.

This is for a Direct & Fulltime role with a global bank having their GCC setup in Goregaon, Mumbai.

Role & responsibilities :

- Develop and maintain data pipelines using PySpark, SQL, Microsoft Fabric, and Azure Cloud services.

- Design and manage data integration workflows using Azure Data Factory (ADF).

- Build and optimize data solutions using Azure Synapse Analytics for large-scale data processing and analytics.

- Refactor legacy SQL/ETL workloads into modern ELT pipelines.

- Build Bronze, Silver, and Gold Lakehouse layers in Microsoft Fabric and Databricks.

- Implement CDC, incremental loading, and data quality checks.

- Support semantic modeling and Power BI reporting.

Preferred candidate profile :

- 7+ years of Data Engineering experience.

- Strong expertise in Azure Cloud, Azure Synapse Analytics, SQL Server, T-SQL, and query optimization.

- Hands-on experience with Microsoft Fabric, Databricks, PySpark, and Python.

- Experience with Azure Data Factory (ADF), ADLS Gen2, and CI/CD integration.

- Knowledge of dimensional modeling, SSIS, SSRS, and SSAS.

- Banking or Financial Services experience is preferred.

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Functional Area

Data Engineering

Job Code

1656008

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