Required Skills: Data Engineering, SQL, Python, GCP, BigQuery, Cloud Storage, Dataflow, ETL pipelines, ELT pipelines, Data warehousing, Data modeling, GIT, CI/CD
Job Description
We are looking for a GCP Data Engineer with experience in designing, developing, and maintaining scalable data pipelines and data solutions on Google Cloud Platform.
Key Responsibilities:
- Develop and maintain ETL/ELT data pipelines using GCP services.
- Work with BigQuery, Cloud Storage, Dataflow, and Pub/Sub.
- Develop data transformations using SQL and Python.
- Build and optimize data warehouses and data models.
- Monitor data pipelines and troubleshoot data quality/performance issues.
- Work with business and technical teams to understand data requirements.
- Follow best practices for data security, governance, and performance.
Required Skills:
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5+ years of experience in Data Engineering.
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Strong SQL and Python skills.
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Hands-on experience with GCP, BigQuery, Cloud Storage, and Dataflow.
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Experience building ETL/ELT pipelines.
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Knowledge of data warehousing and data modeling.
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Experience with Git and CI/CD is a plus.