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Data Engineer - ETL/PySpark (Banking Domain)

Find Data Science Jobs · Dubai, Dubai, United Arab Emirates

🌐 Remote📅 22/08/2026
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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
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