Data Engineer
hace 3 semanas
Role Overview
Data Management Platform
At Moody's Analytics, we're looking for a skilled Python developer to join our Data Solutions division. As a key member of our team, you'll be responsible for building and maintaining our data pipeline codebase, leveraging best-in-class cloud technologies and frameworks.
Key Responsibilities
- Maintain and improve our existing data pipeline codebase using Python
- Participate in exploratory and execution of Proof of Concepts (POCs)
- Collaborate with other developers on the team using Git for version control
- Expand Unit test coverage and implement new data pipelines
- Work with various data formats, including JSON, parquet, avro, and XML
- Use Visual Studio as the primary development environment and create APIs using cloud services like AWS Gateway
Requirements
- Proficiency in Python and experience with cloud services such as AWS, Azure, or Google Cloud
- Understanding of data structures and algorithms, as well as skills in distributed computing
- Ability to develop procedures for data mining, data modeling, and data production
- Experience with big data technologies, such as Apache Spark
- Strong verbal and written communication skills and ability to work in a fast-paced team environment
About Us
Moody's Analytics is a leading provider of data and analytics solutions for the financial services industry. Our Data Solutions division brings together a vast catalogue of data to help business decision-makers assess risks and opportunities.
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