Data Engineer: Spark, Lakehouse & Informatica Specialist

Datamatics Technologies; Riyadh Region; On-site; SAR 223,000 - 446,000; Full time

Job summary

Datamatics Technologies is seeking a Data Engineer to design and optimize data ingestion, transformation, and consumption workloads on an on-premises lakehouse platform in Saudi Arabia. You will work with Spark-based ETL/ELT, Iceberg tables, and Informatica data integration, enabling analytics through Denodo, Starburst, and Dremio.

The role requires hands-on Spark, Iceberg, and Informatica experience, with strong SQL/data modeling skills, and a focus on scalable, governed data pipelines.

Qualifications

• Hands-on experience with Spark development and lakehouse platforms.
• Experience with Informatica Data Integration and metadata controls.
• Proficiency in SQL, data modeling, and data warehousing concepts.
• Experience with object storage (MinIO) and data virtualization (Denodo).
• Exposure to modern data pipeline tooling and CI/CD for data workloads.

Responsibilities

• Design and develop scalable data ingestion and transformation pipelines.
• Build and optimize Spark-based ETL/ELT workloads.
• Model data and manage datasets with Iceberg tables.
• Implement and support data integration workflows using Informatica.
• Enable analytics via Denodo, Starburst, or Dremio.
• Develop secure, governed, and scalable data pipelines.
• Support batch and near real-time processing and data quality controls.
• Collaborate with Platform Engineers on deployment and ops activities.
• Assist migrations, testing, and production rollout; troubleshoot pipelines.

Skills

Spark

Iceberg

Informatica

MinIO

Denodo

SQL/Data Modeling

Data Warehousing

ETL/ELT Development

Git

Tools

Starburst

Dremio

Kafka

CI/CD for Data Pipelines

Python

Job description

Datamatics Technologies is seeking a Data Engineer to design and optimize data ingestion, transformation, and consumption workloads on an on-premises lakehouse platform in Saudi Arabia. You will work with Spark-based ETL/ELT, Iceberg tables, and Informatica data integration, enabling analytics through Denodo, Starburst, and Dremio.

The role requires hands-on Spark, Iceberg, and Informatica experience, with strong SQL/data modeling skills, and a focus on scalable, governed data pipelines.