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Senior GCP DataOps Engineer - OEDIV
Data Engineer
Lead end‑to‑end data pipelines on Google Cloud, architecting scalable, automated workflows with Airflow, BigQuery, and Terraform. Drive data quality, monitoring, and security while mentoring a cross‑functional team.
About the role
Key Responsibilities
- Design, build, and maintain production‑grade data pipelines on GCP using Dataflow, BigQuery, and Cloud Storage.
- Implement and manage Airflow DAGs for automated ETL/ELT processes, ensuring reliability and observability.
- Provision and manage GCP resources with Terraform, enforcing IaC best practices and cost controls.
- Collaborate with data scientists and analysts to translate business requirements into scalable data solutions.
- Define and enforce data quality, lineage, and security policies across the data platform.
- Mentor junior engineers, conduct code reviews, and promote continuous improvement.
Requirements
- 5+ years of experience in data engineering or DataOps roles, with a strong focus on GCP.
- Proficiency in Python, SQL, and Airflow orchestration.
- Hands‑on experience with BigQuery, Dataflow, Pub/Sub, and Cloud Composer.
- Solid knowledge of IaC tools (Terraform) and container orchestration (Kubernetes).
- Excellent problem‑solving skills, strong communication, and a collaborative mindset.
Skills
gcppythonairflowterraformkubernetes