Overview
Remote
Full Time
Contract - W2
Skills
Data Analysis
Kubernetes
GCP
Python
SQL
Data Visualization
Data Quality
Statistical Analysis
Maintain Data
Scheduling
Job Details
Role: Google Cloud Platform Data Engineer
6+ months
- Technical Skills: Python, PySpark, Databricks Workflows, Databricks SQL
- Google BigQuery & PySpark
- Build and maintain data & ingest pipelines from various technology sources across variety of scheduling needs.
- Design and implement data models for efficient consumption and storage
- Utilize data analysis tools and techniques (SQL, Python, data visualization libraries)
- Clean, prepare and transform data for analysis.
- Conduct statistical analysis and modeling, and monitors Production for efficiencies.
- Communicate insights and production trends to stakeholders.
- Ensure data quality, integrity and production reliability and report out on status.
- Works closely with infrastructure to manage, configure Kubernetes clusters, setting up CI/CD pipelines, and ensuring infrastructure
- scalability and performance. Design, Build, Test and deploy data access logic, and solution implementation.
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