Data Engineer (PySpark & Data Modeling)

Reposted 11 Days Ago
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Hiring Remotely in Dubai, ARE
Remote
Mid level
Fintech • Payments • Software • Financial Services • Automation
The Role
The Data Engineer will design and maintain data pipelines using PySpark, perform data modeling, and optimize ETL workflows for advanced analytics.
Summary Generated by Built In

We are looking for a skilled Data Engineer with strong expertise in PySpark and Data Modeling to join our Data & Analytics team. The ideal candidate will be responsible for building scalable data pipelines, optimizing data workflows, and supporting advanced analytics initiatives.

Key Responsibilities
  • Design, develop, and maintain scalable data pipelines using PySpark
  • Perform data modeling (conceptual, logical, and physical) for analytics and reporting
  • Build and optimize ETL/ELT workflows for large-scale datasets
  • Work with structured and unstructured data across multiple sources
  • Ensure data quality, integrity, and governance standards
  • Collaborate with data analysts, scientists, and business stakeholders
  • Optimize performance of Spark jobs and data processing systems
  • Support deployment and monitoring of data solutions in production
Required Skills & Qualifications
  • Strong experience in PySpark and Apache Spark ecosystem
  • Hands-on experience in data modeling (Star Schema, Snowflake, etc.)
  • Proficiency in SQL and database technologies
  • Experience with data warehousing concepts
  • Knowledge of ETL/ELT tools and frameworks
  • Familiarity with cloud platforms (AWS / Azure / GCP) is a plus
  • Understanding of big data technologies (Hadoop, Hive, Kafka, etc.)
  • Strong problem-solving and analytical skills
Preferred Qualifications
  • Experience in banking/financial services domain
  • Exposure to data governance and data quality frameworks
  • Knowledge of CI/CD pipelines and DevOps practices

Skills Required

  • Strong experience in PySpark and Apache Spark ecosystem
  • Hands-on experience in data modeling (Star Schema, Snowflake, etc.)
  • Proficiency in SQL and database technologies
  • Experience with data warehousing concepts
  • Knowledge of ETL/ELT tools and frameworks
  • Familiarity with cloud platforms (AWS / Azure / GCP) is a plus
  • Understanding of big data technologies (Hadoop, Hive, Kafka, etc.)
  • Strong problem-solving and analytical skills
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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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