Data Engineer Google Cloud Platform (Google Cloud Platform)
Posted 1 day ago by 1759832031
Negotiable
Outside
Remote
USA
Summary: The role of Data Engineer focuses on leveraging Google Cloud Platform services to design, build, and maintain scalable data ingestion and pipeline workflows. The ideal candidate will possess hands-on expertise in data engineering, ensuring compliance with best practices while collaborating with cross-functional teams. This position is fully remote and offers a contract duration of 6 to 12 months. Candidates are expected to have a strong background in SQL and various Google Cloud technologies.
Key Responsibilities:
- Design and implement data ingestion and pipeline workflows as per business and technical requirements.
- Develop, configure, test, debug, and document data engineering solutions using Google Cloud Platform.
- Extract and analyze data using SQL for troubleshooting and validation.
- Support existing pipelines and enhance data processes for performance and scalability.
- Collaborate with cross-functional teams, ensuring timely delivery and communication.
- Perform unit, integration, and UAT testing and document results.
- Participate in code reviews, technical discussions, and project estimations.
- Ensure compliance with data security standards and development best practices.
Key Skills:
- Google Cloud Platform (Google Cloud Platform) expertise
- Google Pub/Sub
- BigQuery
- Google Dataform
- Data ingestion to BigQuery
- Google Cloud Storage (GCS)
- Cloud Composer
- GitHub
- SQL (Strong proficiency)
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Let me know if you are suitable with any of the below W2 roles. If not, please refer suitable candidates.
Job Title: Data Engineer Google Cloud Platform (Google Cloud Platform)
Location: 100% Remote (USA)
Duration: 6 12 Months Contract
Type: W2
About the Role:
We are seeking an experienced Data Engineer with strong hands-on expertise in Google Cloud Platform (Google Cloud Platform) services. The ideal candidate will design, build, and maintain scalable data ingestion and pipeline workflows while adhering to best practices and standards.
Key Responsibilities:
Design and implement data ingestion and pipeline workflows as per business and technical requirements.
Develop, configure, test, debug, and document data engineering solutions using Google Cloud Platform.
Extract and analyze data using SQL for troubleshooting and validation.
Support existing pipelines and enhance data processes for performance and scalability.
Collaborate with cross-functional teams, ensuring timely delivery and communication.
Perform unit, integration, and UAT testing and document results.
Participate in code reviews, technical discussions, and project estimations.
Ensure compliance with data security standards and development best practices.
Must-Have Technical Skills:
Google Cloud Platform (Google Cloud Platform) expertise
Google Pub/Sub
BigQuery
Google Dataform
Data ingestion to BigQuery
Google Cloud Storage (GCS)
Cloud Composer
GitHub
SQL (Strong proficiency)
Good-to-Have Skills:
Cloud Data Fusion
Experience with DBMS (SQL Server, DB2, Oracle)
Integrating RESTful APIs / SOAP Webservices
Working with other Google Cloud resources, databases, and services
Jira and Confluence familiarity
Qualifications:
Bachelor s degree in Computer Science, Information Systems, or related field.
5+ years of professional experience in data engineering or ETL development.
Strong problem-solving, analytical, and communication skills.
Ability to work independently in a remote, fast-paced environment.
Why Join Us:
100% remote flexibility
Opportunity to work on cutting-edge Google Cloud Platform data engineering projects
Collaborative and growth-oriented environment
To Apply:
Please send your updated resume, hourly rate expectations, and availability to