Cloud-Based Data Infrastructure Developer
2 weeks ago
Job Overview
Moody's Ratings' AI Analytics group is seeking an experienced Data Engineer to design, build, and maintain our cloud-based data infrastructure. The successful candidate will work closely with data scientists, software engineers, and other data engineers to develop scalable and efficient data pipelines, enabling seamless data ingestion, transformation, and processing.
About the Role
This is a unique opportunity for a talented individual to join our team and contribute to the development of cutting-edge machine learning solutions. We are looking for someone with a strong background in data engineering, excellent problem-solving skills, and experience working with cloud-based technologies.
Responsibilities
- Design and implement scalable, fault-tolerant data pipelines on AWS using services like AWS Redshift, RDS, Glue, and EMR.
- Develop and optimize efficient data processing workflows using Python, PySpark, and SQL.
- Build and maintain ETL/ELT processes for structured and unstructured data sources.
- Collaborate with data scientists and analysts to understand data requirements and provide optimized solutions.
- Ensure data quality, integrity, and security across various stages of the data pipeline.
- Implement best practices for data governance, monitoring, and automation.
- Troubleshoot and resolve data pipeline issues, optimizing performance and reliability.
- Manage and maintain database schemas and structure.
Requirements
- Bachelor's degree in computer science, engineering, or a related field.
- Experience in data engineering roles.
- Understanding of machine learning and AI concepts.
- Proficient in Python, Pyspark, and SQL for data manipulation and processing.
- Good understanding of AWS data services.
- Experience in data modeling and database design (e.g. SQL, NoSQL).
- Strong problem-solving and analytical skills.
- Familiarity with data governance and data quality practices.
Estimated Salary: $120,000 - $180,000 per year
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