Experian - Costa Mesa, CA

posted about 2 months ago

Full-time - Mid Level
Costa Mesa, CA
10,001+ employees
Administrative and Support Services

About the position

The Senior Data Engineer at Experian is responsible for designing, developing, and supporting ETL data pipeline solutions within the AWS environment. This role involves building a semantic layer, collaborating with engineering teams, and supporting a data warehouse while processing both structured and unstructured data. The position requires effective communication with business and technical teams to achieve project goals and deliver cross-functional reporting solutions.

Responsibilities

  • Design, develop, and support ETL data pipeline solutions in the AWS environment.
  • Build a semantic layer by developing ETL and virtualized views.
  • Collaborate with engineering teams to discover and utilize new data.
  • Support the data warehouse and implement solutions using Python for data processing.
  • Troubleshoot and resolve production issues in existing ETL processes written in SQL.
  • Create report specifications and process documentation for data deliverables.
  • Act as a liaison between business and technical teams to achieve project goals.
  • Communicate with partners and technical teams to collect requirements and provide technical designs.
  • Provide engineering support to the customer support team in an Agile environment.

Requirements

  • Minimum 5 years of experience as an ETL Data Engineer with intermediate SQL knowledge.
  • Minimum 5 years of experience in Python scripting.
  • Minimum 2 years of experience with AWS data ecosystem (Redshift, EMR, S3, MWAA, etc.).
  • Minimum 3 years of experience working in an Agile environment.
  • Experience communicating updates and resolutions to customers and partners.

Nice-to-haves

  • Experience with Tableau.
  • Experience with DBT.
  • Hands-on experience with Apache Airflow or equivalent tools (AWS MWAA) for data pipeline orchestration.
  • Hands-on experience building Python API-based data pipelines.

Benefits

  • Great compensation package & bonus plan
  • Core benefits including full medical, dental, vision, and matching 401K
  • Flexible schedule, ability to work remotely, hybrid, or in-office
  • Flexible time off, including volunteer time off, vacation, sick, and 12-paid holidays
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