- Expertise in Google Data Engineering services Big Query, Dataproc etc
- Robust 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 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.