GSSTech Group
Data Engineer - ETL/PySpark (Banking Domain)
🇦🇪 Dubai, UAE🏢 On-site
PySparkPythonETLOracle SQLHadoopHivePandasCI/CD
At a Glance
- Category
- 💻 Technology
- Level
- Mid-Level
- Type
- Full-time
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Role Summary
We are looking for 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 ideal candidate will own the full SDLC lifecycle — from build through UAT, production deployment, and post-production support — while working across structured, semi-structured, and unstructured data.
Key Responsibilities
- Design, develop, and maintain ETL pipelines and data marts using PySpark and Python
- Write clean, maintainable, and 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
- Work across structured, semi-structured, and unstructured data sources
- 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 (QA, DBAs, business analysts) 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
Required Skills & Experience
- 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
- Proven experience across the full SDLC — build, UAT, bug fixing, deployment, post-prod support
- Strong understanding of software engineering concepts and best practices for production pipelines
- Experience working with structured, semi-structured, and unstructured data
- Prior experience with banking clients or strong banking domain knowledge
- Strong data warehousing fundamentals
Tech Stack (Daily Use)
- Languages: Python
- Big Data: Spark / PySpark, Hadoop, MapReduce, Hive
- Data Libraries: Pandas
- Databases: SQL and NoSQL DBMS
- Tools: Jupyter
- Practices: CI/CD, data testing & validation
Nice to Have (optional — add if applicable)
- Cloud experience (AWS/Azure/GCP) — not mentioned in your input, confirm with client
- Airflow or other orchestration tools
- Experience with regulatory/compliance reporting in banking
Requirements
- •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
- •Proven experience across the full SDLC (build, UAT, deployment, post-prod support)
- •Strong understanding of software engineering concepts and best practices
- •Experience working with structured, semi-structured, and unstructured data
- •Prior experience with banking clients or strong banking domain knowledge
Nice to Have
- •Cloud experience (AWS/Azure/GCP)
- •Airflow or other orchestration tools
- •Experience with regulatory/compliance reporting in banking
Responsibilities
- •Design, develop, and maintain ETL pipelines and data marts using PySpark and Python
- •Write clean, maintainable, and production-grade Python code
- •Own end-to-end SDLC activities including UAT support and production deployment
- •Perform data analysis and debugging using Oracle SQL and PySpark
- •Build and maintain data warehousing solutions for banking/financial reporting
- •Debug and optimize PySpark jobs for performance and reliability
- •Collaborate with cross-functional teams (QA, DBAs, business analysts)
- •Participate in CI/CD pipeline processes, including testing and validation
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Get Noticed
- Make sure GSSTech Group actually reads your resume
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- Download Gulf-ready CV
60 seconds. $5.88 one-time.
GCC Info
Company
GSSTech Group
50-250 employees
GSSTech Group offers a suite of IT services including cloud, data analytics, and digital transformation. They serve businesses seeking to modernize their operations.