Google Cloud Platform Data Engineer
UNIFYX LLC
Hartford, United States of America
6 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
EnglishJob location
Hartford, United States of America
Tech stack
Google BigQuery
Cloud Computing
Information Engineering
Data Governance
ETL
Data Visualization
Data Warehousing
Data Flow Control
Power BI
SQL Databases
Tableau
Data Processing
Google Cloud Platform
Data Pipelines
Apache Beam
Job description
- Design and implement data pipelines on Google Cloud Platform to support data processing and analytics
- Optimize and monitor data pipelines for performance and reliability
- Collaborate with data scientists and analysts to understand their data requirements and provide technical solutions
- Work with cross-functional teams to integrate data from different sources and systems
- Troubleshoot and resolve issues related to data processing and pipeline failures
- Stay up-to-date on the latest trends and best practices in data engineering on Google Cloud Platform
Requirements
- Experience working with Google Cloud Platform (Google Cloud Platform) services, such as BigQuery, Dataflow, and Pub/Sub
- Proven track record of designing and implementing data pipelines in a cloud environment
- Strong understanding of data warehousing and ETL processes
- Proficiency in SQL and Python for data manipulation and analysis
- Excellent problem-solving and analytical skills
Preferred Skills:
- Certification in Google Cloud Platform
- Experience with Apache Beam for data processing
- Knowledge of data governance and security best practices
- Experience with data visualization tools, such as Tableau or Power BI