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Mid-level generalist Data Engineer with common GCP/ETL skills in metro increases applicant competition.
Core ETL, SQL, Python and cloud skills are highly transferable across industries.
Mandatory 2+ years plus required GCP/GBQ, SQL and ETL/Python skills indicates high strictness.
Own and maintain data pipelines containing Personally Identifiable Information (PII) such as customer email addresses.
Design, develop, deploy, and optimize data warehouse solutions and ETL pipelines across various data sources using APIs, Cloud SQL, FTP/SFTP, with focus on improving query performance.
Collaborate with business analysts and product owners to gather data requirements and maintain technical documentation including data dictionaries and specifications.
Bachelor's degree in Computer Science or a related field.
Minimum 2 years of experience in data pipeline and data warehouse management.
Strong knowledge of Google Cloud Platform (GCP) and Google BigQuery (GBQ) is mandatory.
Proficiency in SQL and experience with scripting languages (Python preferred), plus familiarity with DevOps lifecycle and CI/CD tools like GitHub or Bitbucket.
Experience working in agile environments and managing sensitive PII data within data pipelines and warehouses.
Strong capability in data warehouse modeling and optimizing data systems on cloud platforms, especially GCP/GBQ.
Comfortable collaborating cross-functionally with business and product teams to translate requirements into technical solutions.