Data Engineer

hace 3 semanas


San Francisco, Heredia, Costa Rica Moody'S A tiempo completo

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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