This is a Hybrid Role - Office location is Denver, CO or Raleigh/Durham, NC

Do you want to be a partofbig data in education?Pearson - the world's leading learning company - hasan exciting opportunityfor a mid-level Data Engineeronthe forefront ofbig data collection and curation.

Imagine allthe interactionsthat alearner, educatororadministratorhaseveryday. Multiply that by the millions of learners,educators,andadministratorsaround the world.All those interactions and events generate data. Nowyoucan beginto understandthe scale of dataat Pearson.

You can have an impact onlearners around the world by contributing to thecurated data eco-system thatis the foundation fora wide range of vitalplatform and business processes here at Pearson.

The Digital Analytics Cloud (DAC) Data team isthe heart of Pearson's data environment.As a member of this team, you'll be responsible for ingesting, transforming, and curating data in ourdata lake. We use multiple technologies including AWS Snowflake and Google BigQuery. Our data lake has over 300 terabytes of data generated by application platforms, user interactions, and system monitors. Our consumers include applications, data science, machine learning, monitors, dashboards and reports.

*Responsibilities:*

• Design, code, unit test, and deploy data processesfor ingestion,transformation,or curation of big data while keeping data security and privacy in mind.
• Activelyparticipatein requirements and design meetings.
• Enjoy a healthy technical debate but know how to collaboratively solve problems that move everyone forward.
• Communicate well in-person, over email, and via instant messaging both within the team and with other development teams.
• Work efficiently and collaboratively in an Agile (Scrum or Kanban) team environment.
• Directly and meaningfullyimpactthe experience of students, institutions, professors and administrators.
• Be able to organize your workload based on team priorities.
• Be willing to learn new skills whether they are directly tied to software development, software testing, server maintenance, or release and delivery.

*Qualifications*

• The ideal candidate will be detail-oriented, self-directed, self-motivated, with a strongcapacityfor working successfully and flexibly with members across the organization.
• 2+ years ofdata engineering or ELTexperience.
• Experience and practice with one or more of the following technologies:
• Snowflake
• AWS Redshift, DMS or, Kinesis
• Google BigQuery
• Databricks
• Commercial or open source ETL / ETL tools
• Experience and practice with SQL.
• Experience orinterest working incloud-basedenvironments preferred.
• Experience or interest in Python,Javaor Scala.
• Experience withautomated deployments a plus.
• Solid foundation in computer science, with experience in OO design and development and multiple data structures.
• Experience with data modeling a plus.
• Easy to work with, stays confident and optimistic in face of challenges.
• Strong communication skills and the ability to communicate technical concepts to non-technical people.

Job: TECHNOLOGY

Organization: Corporate Strategy & Technology

Schedule: FULL_TIME

Req ID: 4610