Data Engineer

unybrands is a leading next-generation e-commerce platform for micro-brands, operating globally with headquarters in Miami and teams in Berlin, London, New York, Seattle, and Shanghai.
Data
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AI · E-Commerce

Description For Data Engineer

unybrands, founded in 2020, is a leading next-generation e-commerce platform for micro-brands. With headquarters in Miami and teams in Berlin, London, New York, Seattle, and Shanghai, unybrands operates globally. The company acquires e-commerce brands operating on and off Amazon, integrating them into its platform, optimizing business operations and economics, and expanding to new product lines and geographies.

As a Data Engineer at unybrands, you will:

  • Collaborate closely with other Data Engineers, Software Development Engineers (SDEs), Analytics Engineers (AEs), Data Scientists (DSs), and Infrastructure Engineers (IEs) in the technology team.
  • Report directly to the Director of Data Engineering.
  • Focus on building a modular, flexible data engineering infrastructure for continuous improvement.
  • Serve customers across eCommerce, marketing, supply chain, finance, business development, and legal departments.
  • Build data products to support every aspect of the business, understanding that data is a strategic resource.
  • Develop unybrands' data model(s) and data infrastructure in collaboration with the Director of Analytics and Head of Infrastructure Engineering.

Key responsibilities include:

  • Designing, implementing, and optimizing ETL pipelines for efficient data movement and transformation.
  • Ensuring data governance best practices, including encryption, access controls, and audit trails.
  • Implementing data quality checks, monitoring data pipelines, and ensuring system reliability and efficiency.

This role requires expertise in:

  • Data architecture and modeling, including experience with dimensional data modeling, OLAP systems, and data warehousing concepts.
  • Cloud platforms, particularly GCP, with strong experience in Big Query and Looker Studio.
  • Database management, including both SQL and NoSQL databases.
  • Programming languages, especially Python, for data processing.
  • DevOps and automation, including experience with CI/CD pipelines and infrastructure-as-code tools.
  • Data privacy regulations like GDPR or CCPA.

The ideal candidate will have strong problem-solving skills, the ability to adapt to a fast-paced environment, and excellent communication skills. Experience with e-commerce/retail/supply chain data modeling and the Amazon seller ecosystem is a significant advantage.

Join unybrands to help e-commerce brands reach new heights with expert operators and infrastructure. Be part of a dynamic team driving innovation in the e-commerce industry.

Last updated 5 months ago

Responsibilities For Data Engineer

  • Collaborate with Data Engineers, SDEs, AEs, DSs, and IEs in the technology team
  • Build modular, flexible data engineering infrastructure
  • Develop unybrands' data model(s) and data infrastructure
  • Design, implement, and optimize ETL pipelines
  • Ensure data governance best practices
  • Implement data quality checks and monitor data pipelines
  • Build data products to support every aspect of the business

Requirements For Data Engineer

Python
  • Experience with data architectures for scalable and performant systems
  • Experience with dimensional data modeling, OLAP systems, and data warehousing concepts
  • Strong experience with GCP, Big Query, and Looker Studio
  • Experience with NoSQL and SQL databases
  • Proficiency in Python and other relevant programming languages for data processing
  • Strong SQL expertise for querying large datasets
  • Knowledge of API integration for extracting data from multiple sources
  • Experience with CI/CD pipelines, automation scripts, and infrastructure-as-code tools
  • Strong understanding of data privacy and compliance regulations like GDPR or CCPA
  • Ability to implement data versioning and data quality checks
  • Proficiency in English

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