Cloud Data Engineer
Description For Cloud Data Engineer
Master-Works is seeking a skilled Cloud Engineer to join their innovative team. The role focuses on building and managing cloud infrastructure that supports applications and services. As a Cloud Data Engineer, you'll be responsible for designing and maintaining data pipelines and lakes on GCP, performing ETL operations, and ensuring optimal data processing performance. The position requires expertise in big data technologies, GCP services, and programming skills in Python and SQL. The role offers an exciting opportunity for professional growth in a collaborative environment, working with data scientists and analysts to maintain data quality and integrity. The position is hybrid-based in Riyadh, Saudi Arabia, making it ideal for those who value flexibility while working with cutting-edge cloud technologies. The role requires 3-5 years of experience with big data technologies and strong technical and communication skills.
Responsibilities For Cloud Data Engineer
- Design, develop, and maintain data pipelines and data lakes on GCP
- Extract, transform, and load (ETL) data from various sources into GCP data warehouses and data lakes
- Optimize data processing performance and scalability
- Collaborate with data scientists and analysts to ensure data quality and integrity
Requirements For Cloud Data Engineer
- 3-5 years' experience with big data technologies (Hadoop, Spark, Hive)
- Proficiency in GCP data services (BigQuery, Dataflow, Dataproc)
- Knowledge of data modeling and data warehousing concepts
- SQL and Python programming skill
- Excellent problem-solving skills and attention to detail
- Strong communication skills and ability to work in a team environment
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