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GSSTech Group

Sr. Data Engineer - PySpark (Banking)

🗓️ Posted 2026-07-25 UAE Hybrid ICT

Company shared salary

NA

Market rate

AED 22,000–AED 35,000/mo (AED 264,000–AED 420,000/yr)

Based on similar roles (title + domain + location).

About the Company

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.

About the Role

d the ability to work closely with cross-functional teams throughout development, testing, deployment, and production support activities.

Responsibilities

  • ● ta 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 SkillsProgramming & 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.

Requirements

  • ● Strong experience in Informatica BDM development.
  • ● Strong expertise in Oracle SQL and data analysis.
  • ● Hands-on experience debugging PySpark code and optimizing data processing workflows.
  • ● Strong understanding of software engineering principles and coding best practices.
  • ● 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.
  • ● 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.