Gcp Architect

Must Have:

• 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.

Good to Have:

• Understanding of 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