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Big Query Data Engineer
GDH
- Magnolia, Arkansas, United States
- Magnolia, Arkansas, United States
About
Responsibilities
Design, develop, and maintain scalable data pipelines and workflows in cloud environments, primarily using BigQuery or equivalent platforms.
Automate data ingestion processes utilizing tools such as Airflow or similar automation frameworks.
Manage large datasets efficiently, ensuring data integrity and performance optimization.
Collaborate with cross-functional teams to support data integration, testing, and deployment within production environments.
Implement best practices for change management and version control during development cycles.
Troubleshoot and resolve data processing issues, applying analytical and problem-solving skills.
Document data workflows and processes clearly for team reference and compliance purposes.
Support data migration efforts from on-premise or hosted platforms to cloud-based solutions.
Contribute to continuous improvement initiatives to enhance data infrastructure capabilities.
Stay current with evolving cloud data technologies and incorporate innovative solutions as appropriate.
Qualifications
2-5 years of experience managing large data systems in production environments.
Hands-on experience with cloud-based data platforms, preferably BigQuery; experience with Google Cloud is a plus.
Proficiency in SQL and Python for data manipulation, automation, and analysis.
Experience automating data ingestion and workflows using Airflow or comparable tools.
Strong analytical thinking and problem-solving capabilities.
Familiarity with SDLC processes, including testing and deployment in production environments.
Knowledge of change management practices related to data workflows and solutions.
Ability to work independently in a remote setting with efficient communication skills.
Preferred experience in healthcare data environments, JIRA, Confluence, and cloud migration processes.
Exposure to AI applications for development and problem resolution is advantageous.
Publishing Pay Range:
$50.00 – $52.00 hourly
This is a fully remote role and can be performed from an approved location.
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Languages
- English
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