Data Engineer (PySpark)

Reposted Yesterday
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Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office
Mid level
Fintech • Payments • Software • Financial Services • Automation
The Role
The Data Engineer will build scalable data pipelines, perform data analysis and ensure high-quality data solutions aligned with enterprise data models.
Summary Generated by Built In

We are looking for a skilled Data Engineer to join the Data Engineering Chapter supporting the Group Operations team at ENBD. The ideal candidate will be responsible for building scalable data pipelines, performing data analysis, and delivering high-quality data solutions aligned with enterprise data models.

Key Responsibilities
  • Collaborate with the Group Operations Team to understand business and data requirements on a daily basis
  • Perform Impact Assessment for new and existing data changes
  • Conduct Technical Data Mapping and Data Profiling activities
  • Design, develop, and maintain ETL pipelines for data extraction, transformation, and loading
  • Build data solutions to feed into AECB application as per prescribed data models
  • Develop and optimize data pipelines using PySpark on modern data platforms
  • Ensure data quality, consistency, and integrity across systems
  • Perform unit testing, debugging, and deployment of data solutions
  • Leverage modern tools and AI technologies (e.g., Claude) to enhance development efficiency and reduce operational errors
  • Work closely with cross-functional teams including business analysts, architects, and QA
Required Skills & Qualifications
  • Strong hands-on experience with PySpark and distributed data processing
  • Experience in Informatica BDM Development (Big Data Management)
  • Solid understanding of ETL/ELT concepts and data pipeline architecture
  • Expertise in data mapping, data profiling, and impact analysis
  • Experience working with large-scale data systems and cloud/data platforms
  • Strong SQL skills and understanding of data warehousing concepts
  • Familiarity with banking/financial domain (preferred but not mandatory)
  • Knowledge of AI-assisted development tools (e.g., Claude) is a plus
  • Good problem-solving and analytical skills
Nice to Have
  • Experience with AECB data/reporting systems
  • Exposure to big data ecosystems (Hadoop/Spark clusters)
  • Understanding of data governance and compliance standards

Skills Required

  • Strong hands-on experience with PySpark and distributed data processing
  • Experience in Informatica BDM Development (Big Data Management)
  • Solid understanding of ETL/ELT concepts and data pipeline architecture
  • Expertise in data mapping, data profiling, and impact analysis
  • Experience working with large-scale data systems and cloud/data platforms
  • Strong SQL skills and understanding of data warehousing concepts
  • Familiarity with banking/financial domain
  • Knowledge of AI-assisted development tools
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The Company
Dubai Internet City
160 Employees
Year Founded: 1997

What We Do

Global Software Solutions Group Veracious product line is a series of robust banking platforms that provide core banking, payment systems, custom process automation, and document management solutions for banks and financial institutions in Middle East & Africa. This cutting-edge product line features the Veracious Payments Hub, Digital Banking and the DMS, all built on the Torus Lowcode development platform software. Global Software Solutions Group is a software solutions provider that aims to solve mission-critical problems that financial institutions face today. Our software solutions bring together our Low Code platform, the payments product line and customized service offerings to solve mission-critical statements in core banking, payments, process automation, and document management. The Payments Hub is GSS's flagship product.

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