GCP Data Engineer

GCP Data Engineer

Duluth,United States

Permanent

Skills

Digital : Google Data Engineering

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.