Data Engineering Lead

5 days ago

Salford, Salford, United Kingdom Moody's Corporation Full time
About the Role

We are seeking a highly skilled and experienced Data Engineering Lead to join our team at Moody's Corporation. As a key member of our data engineering team, you will be responsible for transforming and optimizing our extensive data assets for use with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems.

Key Responsibilities
  • Data Extraction and Transformation: Design and implement efficient data extraction and transformation processes to extract entity-level data into formats suitable for LLMs and RAGs.
  • Data Distribution: Develop and manage large datasets across various distribution platforms, including SFTP, data marketplaces, and Databricks Delta Sharing.
  • Bulk Data Feeds: Create and manage bulk data feeds in multiple formats, such as delimited text, JSON, Parquet, Avro, etc.
  • Team Management: Lead a team of contractors and build a team of full-time engineers as the project progresses towards completion.
  • Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
Requirements
  • Experience: 5-10 years of experience in data engineering or related fields.
  • Programming Languages: Proficiency in Python and SQL.
  • Data Formats: Experience with various data formats, including delimited text, JSON, Parquet, Avro, etc.
  • Data Platforms: Familiarity with data distribution platforms, such as SFTP, data marketplaces, and Databricks.
  • Data Engineering: Strong understanding of data extraction, transformation, and loading (ETL) processes.
  • Team Leadership: Proven experience in managing a team of contractors and building a team of full-time engineers.
Preferred Qualifications
  • LLMs and RAGs: Understanding of how to prepare data for machine learning models and retrieval-augmented generation systems.
  • Big Data Technologies: Experience with big data technologies and tools.
  • Cloud Platforms: Familiarity with cloud platforms, such as AWS, Azure, or Google Cloud.

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