Senior PySpark ETL Engineer for Banking Data

GSSTech Group; Dubai; On-site; AED 260,000 - 380,000; Full time

Job summary

GSSTech Group in Dubai is seeking a hands-on Data Engineer with strong ETL and PySpark expertise to design, build, and support data pipelines and data marts within a banking environment. The role covers the full SDLC from build through UAT, production deployment, and post-production support, while handling structured, semi-structured, and unstructured data to enable banking reporting needs.

You'll collaborate with QA, DBAs, and business analysts, implement CI/CD and data governance practices,

Qualifications

• 5+ years of commercial experience in a data-driven engineering role.
• Hands-on experience building data marts and ETL pipelines.
• Expert-level PySpark and Python for ETL scripting.
• Strong command of Oracle SQL for data analysis and debugging.
• Full SDLC experience — build, UAT, bug fixes, deployment, post-prod support.
• Banking data governance and data warehousing fundamentals.

Responsibilities

• Design, develop, and maintain ETL pipelines and data marts using PySpark and Python.
• Write clean, production-grade Python code following software engineering best practices.
• Own end-to-end SDLC activities: build, UAT support, UAT bug fixes, production deployment, and post-production support.
• Perform data analysis and debugging using Oracle SQL and PySpark.
• Build and maintain data warehousing solutions supporting banking/financial reporting needs.
• Debug and optimize PySpark jobs for performance and reliability.
• Collaborate with cross-functional teams through the release cycle.
• Participate in CI/CD pipeline processes, including testing and validation of data pipelines.
• Ensure data pipeline reliability, scalability, and adherence to banking data governance/compliance standards.

Skills

PySpark

Python

Oracle SQL

ETL pipelines

Data warehousing

SDLC

CI/CD pipelines

Banking domain knowledge

Tools

Jupyter

Hadoop

Hive

MapReduce

NoSQL

SQL

Job description

GSSTech Group in Dubai is seeking a hands-on Data Engineer with strong ETL and PySpark expertise to design, build, and support data pipelines and data marts within a banking environment. The role covers the full SDLC from build through UAT, production deployment, and post-production support, while handling structured, semi-structured, and unstructured data to enable banking reporting needs.

You'll collaborate with QA, DBAs, and business analysts, implement CI/CD and data governance practices,