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Senior Data Engineer


Amazon Fashion is a fast moving innovative team that is revolutionizing the future of online Fashion retail to become each customer’s most loved fashion destination. We are looking for candidates that are passionate about big data and data warehousing technologies (Redshift, EMR, Spark) and statistical modelling/ML. We are a team of passionate builders and are looking for an experienced, self-driven, analytical, and strategic Senior Data Engineer.

In this role, you will work in a large and complex data warehouse environment and own the end-to-end development of data engineering solutions to support complex questions. The ideal candidate will be passionate about working with disparate datasets and be someone who loves to bring data together to answer business questions at speed. You should have deep expertise in the creation and management of datasets and the proven ability to translate the data into meaningful insights through collaboration with analysts and business stakeholders.

Primary responsibilities:

  • Design, implement and support a data infrastructure to support our analytical and business needs including providing ad hoc access to large datasets
  • Help continually improve ongoing reporting and analysis processes, simplifying self-service support for business stakeholders
  • Interface with other internal teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies
  • Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency
  • Collaborate with Analysts, Business Intelligence Engineers and Product Managers to implement algorithms that exploit rich data sets for statistical analysis, and machine learning

Basic Qualifications:

  • Bachelor's degree in computer science, engineering, mathematics, or a related technical discipline
  • 5+ years of industry experience in data engineering or in a role requiring application of analytic skills to integrate data into operational/business planning
  • 5+ years of experience building and operating systems of data extraction, ingestion, and processing of large data sets
  • Proficiency in Python/R or another general purpose programming language
  • Ability to deliver on ambiguous projects with incomplete and/or dirty data
  • Strong written and verbal communication skills including an ability to effectively communicate with both business and technical teams

Preferred Qualifications:

  • Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modelling decisions and data engineering strategy
  • Experience providing technical leadership and mentoring other engineers for best practices on data engineering
  • Experience in working and delivering end-to-end projects independently
  • Demonstrated strength in data modelling, ETL development, and data warehousing
  • Knowledge of data management fundamentals and data storage principles
  • Familiarity with statistical models and/or data mining algorithms and practical experience of applying these to business problems

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