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Senior Data Engineer - Google Cloud Platform - Schwarz Digits
Data Engineer
Lead end‑to‑end data engineering on GCP, designing scalable pipelines, optimizing BigQuery workloads, and automating deployments with Terraform and Airflow. Drive data quality, performance, and collaboration across cross‑functional teams.
About the role
Key Responsibilities
- Design, build, and maintain large‑scale data pipelines on Google Cloud Platform, ensuring high availability and performance.
- Develop and optimize BigQuery schemas, queries, and data models to support analytics and reporting.
- Automate data workflows using Airflow, Terraform, and other IaC tools, managing CI/CD pipelines for data infrastructure.
- Collaborate with data scientists, analysts, and product teams to translate business requirements into robust data solutions.
- Implement data quality checks, monitoring, and alerting to guarantee data integrity and reliability.
Requirements
- 5+ years of experience in data engineering with a strong focus on cloud platforms, preferably GCP.
- Proficient in Python, SQL, and experience building ETL/ELT pipelines.
- Hands‑on expertise with BigQuery, Cloud Storage, Pub/Sub, Dataflow, and related GCP services.
- Solid knowledge of infrastructure as code (Terraform) and workflow orchestration (Airflow).
- Strong analytical mindset, problem‑solving skills, and excellent communication abilities.
Skills
pythonsqlairflowterraform