# Data Engineer - ETL/PySpark (Banking Domain)

> GSSTech Group · Bengaluru, India · — · Posted 2026-08-21

**Workplace:** on_site

## Description

### Role Summary

We are looking for a hands-on Data Engineer with strong PySpark and Python expertise to build and maintain data marts and ETL pipelines within a banking environment. The ideal candidate owns the full SDLC, from build through UAT, bug fixing, production deployment, and postproduction support.

### Key Responsibilities

-   Design, build, and maintain ETL pipelines and data marts using PySpark and Python
-   Write clean, maintainable, and robust production-grade code
-   Own end to end SDLC activities: build, UAT, UAT bug fixes, production deployment, and postproduction support
-   Perform Oracle query analysis and PySpark code debugging
-   Work across structured, semi structured, and unstructured data sources
-   Apply software engineering best practices to production pipelines
-   Support CI/CD processes and data testing/validation activities

### Required Skills & Experience

-   5+ years commercial experience in a data-driven role
-   Hands-on experience building data marts and ETL pipelines
-   Expert level Python for ETL scripting
-   Strong PySpark experience
-   Analytical expertise in Oracle SQL and data analysis
-   Understanding of software engineering concepts and best practices for production pipelines
-   Banking client or banking domain knowledge
-   Strong Data Warehousing fundamentals
-   Familiarity with query languages and both SQL and NoSQL database technologies
-   CI/CD exposure, including testing and validation of data pipelines

### Daily Tech Stack

-   Python
-   Spark / PySpark
-   Jupyter
-   SQL and NoSQL DBMS
-   Hadoop / MapReduce / Hive
-   Pandas

## Apply

[Apply at GSSTech Group](https://apply.workable.com/gsstech-group/j/A745533943/apply)

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