Big Data Engineer (Retailer) (offline)

This particular position is for Marketing & Customer data space where the focus is on working with data layer rather than data pipelines.

About the client
American Eagle Outfitters, Inc. (AEO) is a leading global specialty retailer offering high-quality, on-trend clothing, accessories and personal care products under its American Eagle® and Aerie® brands.The company operates more than 1,000 stores in the United States, Canada, Mexico, and Hong Kong, and ships to 81 countries worldwide through its websites.
Our team in the AEO account has over 150 engineers with specializations such as Data Engineers, Mobile Developers, DevOps, Quality Assurance Engineers, Site Reliability Engineering, etc.

Requirements:
Primary:
- BigQuery and/or SQL
- Cloud experience (ideally GCP)
- Experience working with wide ETL
- Dataflow (Apache Beam)
- Composer (Airflow (ability to work with operators and xcom))

Secondary:
- Python

Min requirements
- Any cloud (GCP preferred) database experience working hands-on with data

Nice to have requirements to the candidate:
- E-commerce experience
- Hands-on in customer and marketing data

We offer:
- Opportunity to work on bleeding-edge projects
- Work with a highly motivated and dedicated team
- Competitive salary
- Flexible schedule
- Benefits program
- Social package — medical insurance and etc
- Corporate social events
- Professional development opportunities
- Opportunity for long business trips to the US and possibility for relocation

About Grid Dynamics

Grid Dynamics is a world-class expert company with highly scalable distributed solutions and CI/CD. We help one of the biggest financial companies on the East Coast to solve the challenging problems that affect the entire development organizations, like building enterprise web services with millisecond response time, or improving development processes by introducing Agile, test automation, TDD, and CI/CD processes.

Company website:
https://www.griddynamics.com

The job ad is no longer active
Job unpublished on 16 May 2022

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