Senior Data Engineer - Spark, Iceberg & Lakehouse

Datamatics-Global-Services-Ltd; Riyadh; On-site; SAR 140,000 - 220,000; Full time

Job summary

Datamatics-Global-Services-Ltd is seeking a Data Engineer to build and optimize data ingestion, transformation, and consumption on a modern on-prem lakehouse. You'll work with Spark-based ETL/ELT workloads, Iceberg tables, and Informatica-based integrations, enabling analytics with Denodo, Starburst, or Dremio.

The role requires 5–10 years of hands-on experience with Spark, Informatica, and enterprise data platforms, in a full-time on-premises environment in KSA.

Qualifications

• Hands-on Spark development experience required.
• Experience with Spark-based ETL/ELT workloads.
• Proficiency in data lake/lakehouse implementations (Iceberg).
• Experience with Informatica integration solutions and data governance tooling.

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 Apache 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

Apache Spark

Apache Iceberg

Informatica Data Integration

MinIO Object Storage

Denodo

SQL & Data Modeling

Data Warehousing Concepts

ETL/ELT Development

Git Version Control

Tools

Starburst

Dremio

Kafka

CI/CD for Data Pipelines

Python

Job description

Datamatics-Global-Services-Ltd is seeking a Data Engineer to build and optimize data ingestion, transformation, and consumption on a modern on-prem lakehouse. You'll work with Spark-based ETL/ELT workloads, Iceberg tables, and Informatica-based integrations, enabling analytics with Denodo, Starburst, or Dremio.

The role requires 5–10 years of hands-on experience with Spark, Informatica, and enterprise data platforms, in a full-time on-premises environment in KSA.