GCP Data Engineer

Job Description

• At least 8 years of overall experience in building ETL/ELT, data warehousing and big data solutions.
• At least 5 years of experience in building data models and data pipelines to process different types of large datasets.
• Experience in building data warehouse using Cloud Technologies such as AWS or GCP Services, and Cloud Data Warehouse preferably Google BigQuery.
• In depth knowledge in Big Data solutions
• Strong SQL knowledge – able to translate complex scenarios into queries.
• Strong Programming experience in Java or Python
• Experience in Google Cloud platform (especially BigQuery & Dataflow)
• Experience with Google Cloud SDK & API Scripting
• Experience in Onsite-Offshore coordination
• Experience in Test Driven Development
• Experience in Agile processes and DevOps methodologies.
• Google Cloud Professional Data Engineer Certification is an advantage.
• Google Cloud – Big Query, Pub/ Sub, Dataflow, Composer DAGs, Cloud storage
• CI/CD – GitHub, Jenkins
• Experience in NoSQL Databases is an added advantage.
• Experience of Retail domain will be an added advantage.

Experience Required:

• At least 8 years of overall experience in building ETL/ELT, data warehousing and big data solutions.
• At least 5 years of experience in building data models and data pipelines to process different types of large datasets.