# Sr. Data Engineer - PySpark (Banking)

> GSSTech Group · Dubai, United Arab Emirates · — · Posted 2026-07-24

**Workplace:** on_site

## Description

We are looking for an experienced Senior Data Engineer with strong expertise in PySpark, Python, and Informatica BDM development to support large-scale Data & Analytics initiatives within an enterprise banking environment. The ideal candidate should possess hands-on experience in building and maintaining robust ETL pipelines, data marts, and scalable data processing solutions across structured, semi-structured, and unstructured data sources.

The role requires strong analytical capabilities, end-to-end SDLC experience, and the ability to work closely with cross-functional teams throughout development, testing, deployment, and production support activities.

## Requirements

### Key Responsibilities

-   Design, develop, and maintain scalable ETL pipelines and Data Mart solutions.
-   Develop high-performance data processing solutions using PySpark and Python.
-   Perform end-to-end SDLC activities including development, UAT support, bug fixing, production deployment, and post-production support.
-   Build and optimize data transformation pipelines for large-scale enterprise data platforms.
-   Perform data analysis, code debugging, and performance tuning across PySpark and SQL-based solutions.
-   Collaborate with business, analytics, and engineering teams to understand and implement data requirements.
-   Ensure data quality, integrity, scalability, and reliability across data pipelines.
-   Work with structured, semi-structured, and unstructured datasets in enterprise environments.
-   Participate in code reviews and implement software engineering best practices.
-   Support CI/CD implementation and data pipeline deployment activities.
-   Troubleshoot production issues and implement effective resolutions.
-   Contribute to technical documentation and knowledge-sharing initiatives.

### Required Technical Skills

### Programming & Big Data Technologies

-   Python
-   PySpark
-   Apache Spark
-   Informatica BDM (Big Data Management)
-   Hadoop
-   MapReduce
-   Hive
-   Pandas

### Data Engineering & ETL

-   ETL Pipeline Development
-   Data Mart Development
-   Data Warehousing Concepts
-   Data Transformation & Processing
-   Data Pipeline Optimization

### Databases & Query Languages

-   Oracle SQL
-   SQL
-   NoSQL Databases
-   Strong analytical and query-writing skills

### Tools & Platforms

-   Jupyter Notebook
-   Git / Version Control
-   CI/CD Pipelines
-   Testing & Validation Frameworks

### Required Experience

-   Minimum 5+ years of commercial experience in Data Engineering or Data Analytics projects.
-   Strong hands-on experience in PySpark and Python-based ETL development.
-   Experience building enterprise-grade ETL pipelines and Data Mart solutions.
-   Strong experience in Informatica BDM development.
-   Experience handling end-to-end SDLC activities including development, UAT, production deployment, and post-production support.
-   Strong expertise in Oracle SQL and data analysis.
-   Hands-on experience debugging PySpark code and optimizing data processing workflows.
-   Experience working with production-grade data pipelines and large datasets.
-   Strong understanding of software engineering principles and coding best practices.
-   Experience working with Agile delivery environments.

### Preferred Domain Experience

-   Banking
-   Financial Services
-   Digital Products
-   Data & Analytics Platforms

### Nice to Have

-   Experience working with enterprise data lake and big data ecosystems.
-   Exposure to cloud-based data platforms.
-   Experience working with CI/CD and automated data pipeline deployments.
-   Knowledge of modern data engineering best practices and scalable architectures.

### Daily Tech Stack

The selected candidate will work extensively with:

-   Python
-   PySpark
-   Informatica BDM
-   Apache Spark
-   Jupyter Notebook
-   Oracle SQL
-   SQL & NoSQL Databases
-   Hadoop Ecosystem (Hive, MapReduce)
-   CI/CD Tools
-   ETL & Data Warehousing Technologies

### Functional Competencies

-   Strong problem-solving and analytical skills.
-   Excellent debugging and troubleshooting capabilities.
-   Ability to work independently in a fast-paced Agile environment.
-   Strong ownership mindset and attention to detail.
-   Effective stakeholder communication and collaboration skills.
-   Ability to manage multiple priorities and production support activities.

## Apply

[Apply at GSSTech Group](https://apply.workable.com/gsstech-group/j/A0EB5CE8E5/apply)

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