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Data Engineer

Enjoy, Palo Alto, CA

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Job description

 

Enjoy’s data team is responsible for building and maintaining a world class data platform and set of self-service data tools and insights solutions that enables Enjoy’s leadership team, as well as product and business teams to become data driven. 

As a Data Engineer, you would not only partner with data analysts, but also work closely with business stakeholders, product managers, software engineering teams, as well as the leadership team to help prioritize and solve high impact business problems. You will be responsible for core data systems which the entire company depends on.

 

Responsibilities

  • Own and manage data engineering roadmap, architecture and deliverables by working with various engineering and business teams align on priorities
  • Develop, build & maintain mission critical data pipelines that gather data from various internal & external sources
  • Create optimized and scalable data models
  • Develop, manage, operationalize & improve current data systems & processes.
  • Always be on the lookout to automate and improve existing data processes for quicker turnaround and high productivity
  • Collaborate with onshore and offshore data team members
  • Develop a deep understanding of business & business processes.
  • Communicate updates with the leadership team, as well as business & engineering stakeholders.
  • Have a high sense of urgency to deliver projects as well as troubleshoot and fix data issues

 

Qualifications

  • BS or MS in Computer Science, Software Engineering, or related field
  • 5+ years of experience building large scale data warehouse, big data platform as well as real-time systems
  • Strong Database knowledge, Snowflake and postgres preferred
  • Proficient in Complex SQL development and optimization.
  • Proficient in Python development.
  • Proficient with SDLC methodologies
  • Experience in Data modeling & schema design.
  • Strong understanding of master data management & data governance
  • Experience with Unix/Shell scripting & Cloud tools
  • Experience with Web development technologies
  • Experience with Data workflow tools like Airflow, Pentaho etc
  • Experience with implementing and operationalizing data quality architecture.
  • Experience working with unstructured data format (Json/XML/Yaml)
  • Experience with ETL development methodologies & tools.
  • Exceptional Excel / Data Management skills
  • Experience in ECommerce and Retail will be a plus

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This job description is not intended as a comprehensive or exhaustive list of all duties, responsibilities, and qualifications necessary for the position described herein. The duties, responsibilities, and qualifications of the position are subject to change without notice.

All offers of employment are subject to background checks and drug screens prior to start date. Enjoy will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local, state, and federal laws and Fair Chance Ordinances.

As an equal opportunity employer, Enjoy is proud to maintain a workplace characterized by mutual respect, inclusivity, and the celebration of diversity. All qualified applicants are welcome and will be considered for employment without regard to race, color, ethnicity, national origin, religion, gender, sex, sexual orientation, gender identity, genetics, disability, veteran status, or other applicable protected characteristic under local, state, or federal law.

About Enjoy

About us Welcome to a new kind of delivery experience. Enjoy offers same-day delivery with personalized setup of today’s best tech products. To bring this to life, we employ incredibly friendly and smart Experts, who are great with tech and even better with people. Our Experts deliver, set up and explain products to customers, all on the same day they order them. And best of all, this is 100% free. Enjoy is founded and led by Ron Johnson, former head of Apple Retail and an executive team from leading retail, technology and design organizations like Apple, Facebook, Amazon and Victoria’s Secret, to name a few.

Want to learn more about Enjoy? Visit Enjoy's website.