indeed
Data Engineer - ETL/PySpark (Banking Domain)
GSSTech Group
Dubai, UAE
Onsite
Discovered 3 weeks ago
ETL pipeline developmentPySparkPythonData martsOracle SQLData warehousing
Free
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ETL pipeline developmentPySparkPython
Role Overview
Build and support data pipelines and data marts within a banking environment.
Own the full SDLC lifecycle from build through UAT, production deployment, and post-production support.
Work across structured, semi-structured, and unstructured data.
Key Skills for This Role
ETL pipeline developmentPySparkPythonData martsOracle SQLData warehousing
Full Job Posting
Role Summary
Build and support data pipelines and data marts within a banking environment.
Own the full SDLC lifecycle from build through UAT, production deployment, and post-production support.
Work across structured, semi-structured, and unstructured data.
Key Responsibilities
- Design, develop, and maintain ETL pipelines and data marts using PySpark and Python.
- Write production-grade Python code using software engineering best practices.
- Own build, UAT support, bug fixes, deployment, and post-production support.
- Analyze and debug data using Oracle SQL and PySpark.
- Build and maintain data warehousing solutions for banking and financial reporting.
- Debug and optimize PySpark jobs for performance and reliability.
- Collaborate with QA, DBAs, and business analysts through the release cycle.
- Participate in CI/CD testing and validation of data pipelines.
- Ensure reliability, scalability, and banking data governance compliance.
Required Skills and Experience
- At least 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 experience for ETL scripting.
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