Data Engineer Google Cloud Platform
Posted 1 week ago by TechniPros, LLC
Negotiable
Undetermined
Remote
Remote
Summary: TechniPros is seeking a Data Engineer with expertise in Google Cloud Platform for a remote W2 contract position. The role involves designing and optimizing data pipelines, implementing Medallion Data Architecture, and collaborating with stakeholders on modern data solutions. Candidates should have extensive experience in cloud technologies and data engineering practices. This position offers the opportunity to work on innovative projects within the IT industry.
Key Responsibilities:
- Design, build, and optimize data pipelines using Google Cloud Platform services including BigQuery, Dataflow, and Cloud Composer
- Implement Medallion Data Architecture patterns for scalable data solutions
- Develop and maintain ETL processes using Python, PySpark, and SQL
- Optimize BigQuery performance through partitioning, clustering, and query tuning
- Manage data storage, security, and orchestration in Google Cloud Storage and Airflow
- Collaborate with stakeholders to deliver modern data architecture solutions
Key Skills:
- 15+ years of experience with strong hands-on expertise in Google Cloud Platform and modern data architecture
- Expertise in BigQuery (partitioning, clustering, query optimization)
- Proven experience implementing Medallion Data Architecture
- Strong programming skills in Python and PySpark
- Advanced SQL proficiency (complex joins, window functions, performance tuning)
- Hands-on experience with Cloud Dataflow and Cloud Composer (Airflow)
- Experience with Google Cloud Storage (GCS), Git, Google Cloud Platform IAM, and cloud security best practices
Salary (Rate): undetermined
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Data Engineer Google Cloud Platform – TechniPros
About TechniPros
TechniPros is seeking talented professionals for long-term contract opportunities in the IT industry. Join our team to work on cutting-edge projects with leading technologies.
Why Join Us?
- Long-term contract stability with competitive W2 pay rates
- Fully remote work flexibility from Denver, CO area
- Work with modern cloud technologies and innovative data solutions
- Collaborate with experienced teams on high-impact projects
Key Responsibilities
- Design, build, and optimize data pipelines using Google Cloud Platform services including BigQuery, Dataflow, and Cloud Composer
- Implement Medallion Data Architecture patterns for scalable data solutions
- Develop and maintain ETL processes using Python, PySpark, and SQL
- Optimize BigQuery performance through partitioning, clustering, and query tuning
- Manage data storage, security, and orchestration in Google Cloud Storage and Airflow
- Collaborate with stakeholders to deliver modern data architecture solutions
Qualifications
- 15+ years of experience with strong hands-on expertise in Google Cloud Platform and modern data architecture
- Expertise in BigQuery (partitioning, clustering, query optimization)
- Proven experience implementing Medallion Data Architecture
- Strong programming skills in Python and PySpark
- Advanced SQL proficiency (complex joins, window functions, performance tuning)
- Hands-on experience with Cloud Dataflow and Cloud Composer (Airflow)
- Experience with Google Cloud Storage (GCS), Git, Google Cloud Platform IAM, and cloud security best practices
Ready to Apply?
Looking for W2 candidates only - No C2C. If you have the required expertise in Google Cloud Platform data engineering, we want to hear from you!
Contact:
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