Data Engineer - 1274073O

 Job-ID :   1274073O 
  Category :  Engineers 
  Position Type : Contract & Remote 

Job Description



Client Global Technology is the arm of Client dedicated to creating and running the Client websites, apps, and digital retail experiences.  Global Technology consists of approximatelyis comprised of more than 10,000 people organized into smaller teams --called squads. --and a squadEach squad workss on a a particular technology deliverable.  Due to the sheer size of the technology organization, understanding the organizational structure and work being done across the enterprise in Global Tech is a complex feat.

Our team The Digital Dash team --manages, stores, automates, and visualizes data about squads in a series of dashboards and reports to provide a clear picture into the purpose, size, productivity, and health of our squads.  Our main primary deliverable is a website the that contains provides automated, self-service, interactive squad dashboards so that leaders and teams can get the information they need at any time.

As a DATA ENGINEER, DIGITAL DASH (SWII), you will manage our database and data pipelines. You will monitor daily jobs, create scheduled tasks, and ensure data is flowing smoothly from all of our sources. If any data issues should arise, you will perform root-cause analysis on the defect and propose fixes and solutions. You will participate in daily team meetings, and effectively communicate your work, and share your findings to the rest of the team.


  • Manage existing data pipelines with emphasis on AWS cloud-based data processing technology.
  • Monitor scheduled jobs, and jobs and ensure all data flows are consistent andly up up-to to-date.
  • Troubleshoot any data issues, perform root cause, and propose options for fixing.
  • Rigorously test any code changes and present test findings to the team.
  • Actively document major changes or updates to data pipelines.
  • Effectively communicate daily work to the rest of the team at morning meeting.


  • Self-starter who can tackle new work, given minimal requirements and high ambiguity.
  • Desire to deep-dive into a new code base and learn data pipelines with limited outside guidance.
  • Team player with willingness to work side-by-side with business-oriented teammates or pair-program with other engineers.
  • Ability to quickly shift tasks based on high-priority requests.
  • Strong written and oral communication skills.


  • 3+ years of experience in data engineering
  • 2+ years of experience with AWS services including EC2, ECS, S3, Kinesis, Aurora, DynamoDB
  • Fluent in Python, Javascript, SQL, GraphQL
  • Experience working with APIs
  • Experience working in an Agile (Scrum) environment using Jira
  • Experience using GitHub and Git
  • Familiarity with other data services, including Kafka, Neptune

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