Data Engineer
Core
Designing, building, and maintaining scalable data pipelines and infrastructure to support analytics and reporting use cases for a banking organization.
Role type
Senior Data Engineer
Builds
End-to-end ETL/ELT data pipelines, in-house PySpark frameworks, and data solutions on Azure.
Domain
Banking / Financial Services / Cloud Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
PySpark, Python, SQL, Azure Databricks, Azure Data Factory, Azure SQL Server, Azure Storage, Azure DevOps, Git, PowerShell
Preferred skills
Power BI, automated testing, data pipeline monitoring
Technologies
Azure Databricks, Azure Data Factory, Azure SQL Server, Azure Storage, Azure DevOps, PySpark, Python, PowerShell, Git
Responsibilities
Develop and enhance in-house PySpark frameworks; Build, test, and implement ETL/ELT pipelines; Provide mentorship to junior team members; Design end-to-end data engineering solutions; Monitor batch operations on the Data and Insights Platform.
Seniority
Senior, hands-on IC
