Cloud Data Engineer
Description For Cloud Data Engineer
Master-Works is seeking a Cloud Data Engineer to enhance their data management capabilities. This role focuses on developing and maintaining cloud data solutions on Google Cloud Platform (GCP) to support business insights and enable data-driven decision-making. The position requires expertise in big data technologies, GCP services, and strong programming skills in Python and SQL. As a Cloud Data Engineer, you'll be responsible for designing data pipelines, implementing ETL processes, and optimizing data processing while collaborating with data scientists and analysts. The role offers a hybrid work environment in Riyadh, Saudi Arabia, making it an excellent opportunity for experienced data engineers looking to work with modern cloud technologies and big data solutions.
Responsibilities For Cloud Data Engineer
- Design, develop, and maintain data pipelines and data lakes on Google Cloud Platform (GCP)
- Extract, transform, and load (ETL) data from various sources into GCP data warehouses and data lakes
- Optimize data processing for performance and scalability
- Collaborate with data scientists and analysts to ensure high data quality and integrity
Requirements For Cloud Data Engineer
- 3-5 years of experience with big data technologies (e.g., Hadoop, Spark, Hive)
- Proficiency in GCP data services such as BigQuery, Dataflow, and Dataproc
- Solid understanding of data modeling and data warehousing concepts
- Strong skills in SQL and Python programming
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