Gcp Data Engineer Deutsche Bank

Role: GCP Data Engineer

Experience: 5 - 10 Years

Skills: GCP Big Query, Dataproc, Pub Sub, Airflow

JD:

• Expertise in Google Data Engineering services Big Query, Dataproc etc
• Strong experience in programming languages such as Python, PySpark data manipulation, and engineering tasks.
• Expertise in SQL and NoSQL databases
• In-depth knowledge of data warehousing solutions
• Deep understanding on data warehousing concepts

Proficiency in designing, developing, and maintaining ETL (Extract, Transform, Load) processes using tools like Apache Airflow, Talend, or Informatica.

• Understanding DevOps Concepts in GCP.
• Strong understanding of data modeling concepts and techniques to create efficient and scalable data models.
• Experience with version control systems such as Git for code management and collaboration.

Knowledge of data governance, data quality standards, and data security practices to ensure compliance and protection of sensitive information