Posted on: 21/07/2026
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.
Did you find something suspicious?
Posted by
Recruiter
Last Active: NA as recruiter has posted this job through third party tool.
Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1656008