Job Description: Data Engineering & Warehousing Engineer
Job Title: Data Engineering & Warehousing Engineer
Experience: 3–11 Years
Location: Riyadh - Onsite
Employment Type: Full-Time
Job Overview
We are seeking a highly skilled Data Engineering & Warehousing Engineer with 3–11 years of experience to design, develop, and maintain scalable data platforms and enterprise data warehouse solutions. The ideal candidate will have hands-on expertise in building ETL/ELT pipelines, data integration, cloud-based data platforms, and big data processing technologies. You will play a key role in enabling reliable, high-performance analytics and business intelligence solutions.
Key Responsibilities
- Design, develop, and optimize scalable ETL/ELT pipelines for structured and unstructured data.
- Build and maintain enterprise data warehouses, data lakes, and up-to-date data platforms.
- Develop real-time and batch data processing solutions.
- Integrate data from multiple internal and external sources while ensuring data quality and governance.
- Collaborate with Data Scientists, BI Developers,



and business stakeholders to support analytical requirements.
- Optimize data storage, query performance, and pipeline reliability.
- Implement data security, monitoring, and governance best practices.
- Troubleshoot and resolve data pipeline and platform issues.
- Participate in architecture discussions and contribute to data platform modernization initiatives.

Required Technical Skills
Cloud Data Platforms
- Hands-on experience with Google BigQuery and Dataflow and Dataproc and Pub/Sub.
- Experience with Azure Synapse and Azure Data Factory.
- Experience with Amazon Redshift and AWS Glue.

Data Processing & Streaming
- Strong experience with Apache Spark and Apache Kafka.
- Experience building batch and real-time data processing pipelines.

Data Transformation
- Hands-on experience with dbt or Oracle Data Integrator (ODI) for data transformation and orchestration.
- Experience implementing ETL

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