Data Engineer: Spark, Lakehouse & Informatica

Datamatics-Global-Services-Ltd; Al Jubayl; On-site; SAR 180,000 - 300,000; Full time

Job summary

Datamatics-Global-Services-Ltd is seeking a Data Engineer to design, develop, and optimize data ingestion, transformation, and consumption on a modern lakehouse platform. The role emphasizes Spark-based development, Iceberg tables, and Informatica-driven integration.

You will build scalable ETL/ELT workloads, manage data models, and collaborate with platform engineers to deploy and operationalize data pipelines. Experience with Denodo and related technologies is valued.

Qualifications

• Hands-on experience with Spark development (PySpark/Scala).
• Experience with Informatica Data Integration.
• Experience building data models and lakehouse architectures using Iceberg and MinIO.

Responsibilities

• Design and develop scalable data ingestion and transformation pipelines.
• Build, optimize, and maintain Spark-based ETL/ELT workloads.
• Develop and manage data models and datasets using Iceberg tables.
• Implement and support data integration workflows using Informatica.
• Enable analytics and data consumption through Denodo, Starburst, and/or Dremio.
• Develop secure, governed, and scalable data pipelines aligned with enterprise standards.
• Support batch and near real-time data processing requirements.
• Implement data quality, metadata management, and validation controls.
• Collaborate with Platform Engineers on deployment, integration, and operationalization activities.
• Support migration, testing, and production rollout initiatives.
• Troubleshoot and optimize data pipeline performance, reliability, and scalability.

Skills

Spark

Iceberg

Informatica

MinIO

Denodo

SQL

Data Modeling

ETL/ELT

Git

Job description

Datamatics-Global-Services-Ltd is seeking a Data Engineer to design, develop, and optimize data ingestion, transformation, and consumption on a modern lakehouse platform. The role emphasizes Spark-based development, Iceberg tables, and Informatica-driven integration.

You will build scalable ETL/ELT workloads, manage data models, and collaborate with platform engineers to deploy and operationalize data pipelines. Experience with Denodo and related technologies is valued.