Overview
On Site
$20 - $60
Contract - Independent
Contract - W2
Skills
BigQuery
Dataflow
Cloud Storage
Job Details
Job Title: Google Cloud Platform Data Engineer
Location: Irving, TX (On-Site)
Rate: DOE Duration: 6-Month Contract (Possible Extensions) Client: Prodapt / Verizon
Job Overview:
We are seeking a hands-on Google Cloud Platform Data Engineer with strong experience in BigQuery, Python, Java, and Apache Beam. The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines and analytical solutions on Google Cloud Platform.
Key Responsibilities:
- Build, optimize, and maintain data pipelines on Google Cloud Platform using Apache Beam.
- Develop ETL processes leveraging Python and BigQuery.
- Integrate and transform large datasets for analytics and reporting.
- Collaborate with cross-functional teams to ensure data quality and performance.
- Contribute to best practices for data engineering and cloud deployment.
Required Skills:
- Google Cloud Platform (Google Cloud Platform) hands-on experience with BigQuery, Dataflow, and Cloud Storage.
- Programming: Python and Java (for scalable data solutions).
- Apache Beam experience in building and managing pipelines.
- Strong SQL and data modeling skills.
- Excellent problem-solving and communication skills
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