
Leading Edge Data Architectural Expert
2 weeks ago
About the Role:
A senior data infrastructure specialist is needed to design, develop and maintain scalable data pipelines and ETL processes. The ideal candidate will have extensive proficiency in SQL, Python and other relevant programming languages.
Main Responsibilities:
- Data Pipeline Development: Develop and maintain scalable data pipelines and ETL processes to support downstream analytics and AI applications.
- Collaboration with ML Engineers: Collaborate with machine learning engineers to integrate data solutions into machine learning models and workflows.
- Data Quality and Security: Ensure data quality, integrity and security across all projects.
- Data Storage Solutions: Optimize and manage data storage solutions in cloud environments.
- Pipeline Monitoring: Monitor the performance of data pipelines and identify bottlenecks or failures.
Requirements:
- Education: Bachelor's or Master's degree in Computer Science, Information Technology or a related field.
- Experience: 10+ years of experience as a data engineer or in a similar role.
- Skills: Strong proficiency in SQL, Python and other relevant programming languages, as well as hands-on experience with Databricks and its ecosystem.
- Cloud Experience: Familiarity with major cloud environments and their data services.
- Databases: Comfortable working with a variety of SQL, NoSQL and graph databases.
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