Data Engineer

About the Role

Datamatics Technologies is seeking a Data Engineer to join their team in Dammam, Eastern region. This full-time role focuses on building, configuring, and optimizing data ingestion, transformation, and consumption workloads within a modern on-premises lakehouse platform. The ideal candidate will possess strong hands-on experience with Spark-based development, enterprise data lake/lakehouse implementations, and Informatica-based integration solutions.

Key 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.

Required Experience

• Candidates should have 5-10 years of relevant experience in data engineering.
• Strong hands-on experience with Spark-based development.
• Proven experience with enterprise data lake/lakehouse implementations.
• Expertise in Informatica-based integration solutions.

Technical Skills

• Proficiency in Spark for ETL/ELT workloads.
• Experience with Apache Iceberg tables for data modeling and dataset management.
• Familiarity with data consumption tools such as Denodo, Starburst, and/or Dremio.
• Understanding of data quality, metadata management, and validation controls.

Work Environment

This is a full-time position based in Dammam, Eastern. The role involves collaboration with Platform Engineers and requires supporting various data processing requirements, including batch and near real-time operations.

Application Process

Salary details for this position will be discussed during the interview process.