GCP Data Engineer
Core
Architect, develop, and optimize scalable data pipelines and data management solutions on Google Cloud Platform (GCP) to support enterprise analytics and reporting.
Role type
Senior GCP Data Engineer
Builds
Scalable data pipelines, data ingestion workflows, and enterprise data platforms
Domain
Cloud Data Engineering / Big Data
Deliverable
production ML models | product features
Required skills
GCP services (BigQuery, Dataflow, Cloud Storage, Pub/Sub), Apache Spark, Python, ETL/ELT, distributed data storage (SQL/NoSQL), Linux/Unix, Git
Preferred skills
Data governance, Apache Airflow, Docker, Kubernetes, SQL, Java, Terraform, CI/CD tools
Technologies
GCP, BigQuery, Dataflow, Cloud Storage, Pub/Sub, IAM, Cloud Function, Apache Spark, Airflow, TensorFlow, PyTorch, PostgreSQL, MySQL, MongoDB, Docker, Kubernetes, Terraform, Jenkins
Responsibilities
Design and maintain resilient data pipelines on GCP, collaborate with stakeholders to implement optimized workflows, enforce data quality and security standards, optimize ingestion and processing for performance/cost, troubleshoot pipeline issues, document architecture and procedures
Seniority
Senior, hands-on IC
