Overview
On Site
Hybrid
$50
Contract - Independent
Contract - W2
Skills
GCP BigQuery
Dataflow
and DAGs (Airflow/Cloud Composer).
Job Details
Job Description:
We are seeking an experienced Google Cloud Platform Data Engineer to design, build, and manage scalable data pipelines on Google Cloud Platform. The ideal candidate will have strong expertise in BigQuery, Dataflow, and DAG orchestration (Airflow/Cloud Composer) to support advanced analytics and data processing.
Responsibilities:
- Design and implement ETL/ELT pipelines using Google Cloud Platform services (Dataflow, Pub/Sub, BigQuery).
- Develop and schedule DAGs using Airflow/Cloud Composer for workflow automation.
- Optimize BigQuery queries and data models for performance and cost efficiency.
- Collaborate with data scientists, analysts, and cloud architects to deliver scalable data solutions.
- Ensure data quality, reliability, and security within cloud data pipelines.
Required Skills & Qualifications:
- 10+ years of experience in Data Engineering.
- Strong hands-on expertise in Google Cloud Platform BigQuery, Dataflow, and DAGs (Airflow/Cloud Composer).
- Proficiency in SQL and Python for data transformation.
- Experience with CI/CD pipelines, Terraform, or similar IaC tools.
- Knowledge of data warehousing, distributed systems, and cloud best practices.
- Google Cloud Platform Certification preferred.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.