Senior Spark Data Engineer – Lakehouse & Informatica

Datamatics Technologies; Riyadh; On-site; SAR 240,000 - 360,000; Full time

Job summary

Datamatics Technologies is seeking a Data Engineer to build and optimize data ingestion, transformation, and consumption workloads on a modern on-prem lakehouse platform in KSA. Strong Spark, Iceberg, and Informatica expertise are required to implement scalable data pipelines.

You will work with Denodo, SQL, and data modeling to enable analytics and governance across enterprise standards, with emphasis on batch and near real-time processing.

Qualifications

• Hands-on Spark development experience and lakehouse workloads.
• Experience with Informatica Data Integration and data pipelines.
• Proficiency with Apache Iceberg tables and data modeling concepts.
• Knowledge of MinIO storage, Denodo data virtualization, and SQL.
• Familiarity with data warehousing concepts and ETL/ELT processes.
• Version control using Git in a collaborative environment.

Responsibilities

• Design and develop scalable data ingestion and transformation pipelines.
• Build and optimize Spark-based ETL/ELT workloads.
• Manage data models and datasets using Iceberg tables.
• Implement and support Informatica integration workflows.
• Enable analytics through Denodo, Starburst, or Dremio.
• Ensure data quality, governance, and metadata management.
• Collaborate with Platform Engineers on deployment and operations.
• Support batch and near real-time data processing and migrations.

Skills

Apache Spark (PySpark/Scala)

Apache Iceberg

Informatica Data Integration

MinIO Object Storage

Denodo

SQL & Data Modeling

Data Warehousing Concepts

ETL/ELT Development

Git Version Control

Tools

Denodo

Starburst

Dremio

Kafka

Job description

Datamatics Technologies is seeking a Data Engineer to build and optimize data ingestion, transformation, and consumption workloads on a modern on-prem lakehouse platform in KSA. Strong Spark, Iceberg, and Informatica expertise are required to implement scalable data pipelines.

You will work with Denodo, SQL, and data modeling to enable analytics and governance across enterprise standards, with emphasis on batch and near real-time processing.