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