Job descriptionProven expertise in Google Cloud Data Engineering services like BigQuery, Dataproc, and more.Strong programming skills in Python and PySpark for data manipulation and engineering.Solid experience with SQL and NoSQL databases .Deep understanding of data warehousing concepts and hands-on experience with modern data warehousing solutions.Proficiency in designing and maintaining ETL pipelines using tools such as Apache Airflow, Talend, or Informatica.Familiarity with DevOps practices in GCP environments.Strong grasp of data modeling techniques for building efficient and scalable models.Experience with version control systems like Git for collaborative development.Knowledge of data governance , data quality standards , and security best practices to ensure compliance and protect sensitive data.