🕒 8 days ago
Leads the technical direction of a cloud-based data platform, scaling ingestion, governance, and machine learning infrastructure while delivering cross-functional initiatives and mentoring engineers.
Lead Data Engineer - R01553055
📅 Jul 17, 2025
Google Cloud Platform (gcp)BigqueryPythonApache Airflow
📜 Description
- Analyze legacy on-premises and hybrid data warehouse environments and lead migrations to BigQuery.
- Design migration strategies that protect data quality, integrity, and performance.
- Integrate structured and unstructured data from APIs, databases, IoT devices, and telemetry sources.
- Build scalable ETL and real-time streaming pipelines using Airflow, Python, Spark, and GCP tools.
- Optimize BigQuery SQL, transformations, scheduled jobs, query performance, and cloud costs.
🛠️ Requirements
- 5+ years in Data Engineering with a strong focus on cloud and big data technologies.
- Minimum 2+ years of hands-on experience with GCP, specifically BigQuery.
- Proven experience migrating on-premise data systems to the cloud.
- Strong development experience with Apache Airflow, Python, and Apache Spark.
- Expertise in streaming data ingestion, particularly in IoT or sensor data environments.
- Strong SQL development skills; experience with BigQuery performance tuning.
- Solid understanding of cloud architecture, data modeling, and data warehouse design.
- Familiarity with Git and CI/CD practices for managing data pipelines.
- GCP Professional Data Engineer certification.
- Experience with modern data stack tools like dbt, Kafka, or Terraform.
✨ Benefits
- Competitive compensation
- Benefits
- Growth opportunities
Full job description
Lead Data Engineer
Primary Skills
Job requirements
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