What will you do:

• Design, develop, and maintain data pipelines and ETL processes on GCP.
• Work with large datasets, ensuring high performance and scalability.
• Utilize BigQuery for data storage, querying, and analysis.
• Implement data workflows using Airflow or Dataflow.
• Develop and maintain scripts in Python for data manipulation and automation.
• Optimize SQL queries and database performance for efficient data retrieval.
• Collaborate with data scientists, analysts, and other engineers to meet data needs.
• Ensure data quality, consistency, and integrity across systems.
• Monitor and troubleshoot data systems, ensuring high availability and reliability

What makes you a great fit:

• Google Cloud Platform (GCP) : Hands-on experience with GCP services, including BigQuery,
• Cloud Storage, and Pub/Sub.
• Python : Proficiency in Python for scripting, data manipulation, and automation.
• SQL : Strong SQL skills, with experience in writing and optimizing complex queries.
• BigQuery : Deep understanding of BigQuery architecture, including query optimization and partitioning.
• Airflow or Dataflow : Experience with setting up and managing workflows using Apache Airflow or Google Cloud Dataflow.
• Data Engineering : Solid understanding of data warehousing concepts, ETL processes, and data modeling

Client: Altimetrik