# Data Engineer - ETL/PySpark (Banking Domain)

**Company:** [GSSTech Group](http://jobs.workable.com/companies/cu9XaZB8i9r9X8CdwN62f7.md)
**Location:** Bengaluru, India
**Workplace:** on site

[Apply for this job](http://jobs.workable.com/view/1a3e8cd9-012b-4e44-91c3-24d68e68cfaf)

## 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