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Data Engineer - GCP
- Fremont, California, United States
- Fremont, California, United States
About
Design, develop, and maintain scalable data pipelines using Python and PySpark
Build and optimize ETL/ELT workflows using Apache Airflow
Develop data transformation models and workflows using dbt
Work with BigQuery for data warehousing, querying, and optimization
Write efficient and optimized SQL queries for large-scale data processing
Ensure data quality, integrity, and reliability across pipelines
Collaborate with Data Analysts, Data Scientists, and business stakeholders for data requirements
Monitor and troubleshoot production data workflows and resolve issues proactively
Implement best practices for logging, monitoring, testing, and CI/CD
Optimize cloud resource usage and cost efficiency on GCP
Participate in code reviews and engineering best practices
Required Skills
Must have 2–4 years of experience in Data Engineering or related roles
Strong hands‑on experience with Python and SQL
Experience with PySpark and distributed data processing
Good knowledge of BigQuery and GCP services
Experience with Apache Airflow for orchestration
Hands‑on experience with dbt for data transformation and modeling
Understanding of ETL/ELT frameworks and data warehousing concept
Familiarity with GCP services such as: BigQuery
Cloud Storage
Dataproc
Composer
Pub/Sub
Experience with Git and CI/CD practices
Strong analytical and problem‑solving skills
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Languages
- English
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