About the Job:
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At Capgemini Engineering, the world leader in engineering services, we unite a global team of engineers, scientists, and architects to assist the world’s most innovative companies in realizing their potential. Our experts in digital and software technology provide unique R&D and engineering services across all industries, from autonomous cars to life-saving robots.
We are seeking a passionate and experienced Data Engineer to join our growing team. In this role, you will design, build, and optimize scalable data infrastructure to facilitate intelligent decision-making across various sectors. You will work with cutting-edge technologies to integrate diverse data sources, build real-time and batch pipelines, and ensure data quality, governance, and performance. You will collaborate with cross-functional teams to deliver robust, secure, and high-performance data solutions that drive innovation and business value.
Location: Al Khobar, Eastern, Saudi Arabia (On-site)
Work Conditions: Full-time
Key Responsibilities:
- Design and maintain data pipelines for structured, semi-structured, and unstructured data.
- Optimize Apache Spark for distributed processing and scalability.
- Manage data lakes and implement Delta Lake for ACID compliance and lineage.
- Integrate diverse data sources (APIs, databases, streams, flat files).
- Build real-time streaming pipelines using Apache Kafka.
- Automate workflows using Airflow and containerize solutions with Docker.
- Leverage cloud platforms (AWS, Azure, GCP) for scalable infrastructure.
- Develop ETL workflows to transform raw data into actionable insights.
- Ensure compliance with data privacy standards (PII, GDPR, HIPAA).
- Build APIs to serve processed data to downstream systems.
- Implement CI/CD pipelines and observability tools (Prometheus, Grafana, Datadog).
Your Profile:
- Bachelor’s or Master’s in Computer Science, Data Engineering, or a related field.
- 5+ years of experience in data engineering and distributed systems.
- Expertise in Apache Spark and Delta Lake.
- Hands-on experience with cloud services (AWS, Azure, GCP).
- Strong skills in SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra).
- Proficiency in data formats like Parquet, Avro, JSON, XML.
- Experience with Airflow, Docker, and CI/CD pipelines.
- Familiarity with data governance and compliance frameworks.
- Strong understanding of data quality, lineage, and error handling.
- Experience developing data APIs and working with MLOps tools.
Preferred Skills:
- Experience with Kubernetes for container orchestration.
- Knowledge of data warehouses (Snowflake, Redshift, Synapse).
- Familiarity with real-time analytics platforms (Flink, Druid, ClickHouse).
- Exposure to machine learning pipelines and IoT data integration.
- Understanding of graph databases (Neo4j) and data cataloging tools (Apache Atlas, Alation).
- Experience with data versioning tools like DVC.
What You’ll Love About Working Here:
- Flexible work arrangements, including remote options and flexible hours.
- Career growth programs and diverse opportunities to help you thrive.
- Access to certifications in the latest technologies and platforms.
