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Popular GCP data engineer role at a recognized firm with metro hiring and mid-level openness increases competition.
GCP-focused data engineering skills are transferable across industries but require cloud-specific expertise.
Requires specific GCP, BigQuery and DBT skills but lacks explicit years, so screening is moderately strict.
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Design, develop, and maintain data pipelines on Google Cloud Platform (GCP) using services like Dataflow, Cloud Composer (Airflow), and Cloud Functions.
Build, optimize ETL/ELT processes and data transformations to prepare data for analysis within GCP including using DBT for pipeline creation.
Monitor data pipeline performance and reliability; collaborate with data scientists and analysts to meet data infrastructure requirements; implement data quality checks and assist with data governance and security.
Experience working with Google Cloud Platform data engineering services including Dataflow, Cloud Composer, Cloud Functions, and BigQuery.
Proficiency in DBT and ability to write DBT pipelines.
Bachelor's or Master's degree in Computer Engineering, Computer Science, Information Technology, or Software Engineering.
Work Experience Required: Not explicitly mentioned in the JD
Practitioner with hands-on experience in building and maintaining scalable data pipelines on GCP in a cloud data engineering environment.
Candidate comfortable collaborating closely with data scientists and analysts to translate data requirements into technical solutions.
Candidate open to learning and adopting new GCP data engineering tools, best practices, and supporting data governance and security implementation.