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Production Data Engineer
hace 2 meses
About Moody's Media Solutions:
Moody's Media Solutions is a leading provider of media analytics and news processing solutions. Our team is dedicated to delivering high-quality data and insights to support business decision-making.
Role Overview:
We are seeking a highly skilled Production Data Engineer to join our dynamic Enrichment Team. The ideal candidate will have a strong background in news processing, data quality, and process improvement, with a keen interest in developing and optimizing production pipelines.
Key Responsibilities:
- Develop, maintain, and optimize production pipelines for news processing and data enrichment.
- Implement and refine automated QA processes to ensure the highest data quality standards.
- Collaborate with cross-functional teams to identify and execute process improvements.
- Contribute to the design and development of new features and tools to enhance production efficiency and data quality.
- Ensure robust version control and collaborative development practices using GitHub.
- Monitor system performance, troubleshoot issues, and implement solutions to maintain system health.
- Participate in the creation and execution of testing protocols for system enhancements and new releases.
Minimum Qualifications:
- Minimum of 2 years of relevant work experience in a production engineering or similar role.
- Strong programming skills in Python. Knowledge of C++/C is a plus.
- Proficiency in SQL for data manipulation and analysis.
- Experience with GitHub for version control and collaborative development.
- Familiarity with Continuous Integration/Continuous Deployment (CI/CD) practices and production pipeline architectures.
Desirable Skills:
- Experience working with news data or in a media-focused technology environment.
- Knowledge of data visualization tools and techniques.
- Understanding of machine learning concepts and their application in improving production processes and data quality.
Working Conditions:
This is a fully remote position, requiring the candidate to be available during standard Eastern Time business hours. The role may occasionally require flexibility to meet project deadlines or address system issues outside of standard hours.
