Amazon - Austin, TX

posted about 2 months ago

Full-time - Mid Level
Austin, TX
Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

Be a part of Fulfillment Technologies and Robotics Research & Development's trailblazing Global Operations - Artificial Intelligence Research and Development team! We're seeking innovative minds to join our agile workforce, where experimentation and technology merge to shape the future. Our team is at the forefront of developing AI/ML breakthroughs, offering unique, rapid-response services like real-time human in-the-loop annotations and early-stage data labeling for AI models. Dive into programs that influence customer experiences through UI feedback and process consultations, both upstream and downstream. You'll have the opportunity to be part of new GO-AI R D initiatives, ensuring a seamless transition of solutions into operational reality. We value speed and efficiency, starting programs as fast as two weeks of requirement setting. Be part of a team that's not just on call for fast experimentation responses but is actively defining the standards in tech innovation. Join us and contribute to a future where your work is integral to pioneering technology solutions!

Responsibilities

  • Design, development and ongoing operations of scalable, performant data warehouse (Redshift) tables, data pipelines, reports and dashboards.
  • Development of moderately to highly complex data processing jobs using appropriate technologies (e.g. SQL, Python, Spark, AWS Lambda, etc.)
  • Development of dashboards and reports.
  • Collaborating with stakeholders to understand business domains, requirements, and expectations.
  • Working with owners of data source systems to gain insights into capabilities and limitations.
  • Deliver minimally to moderately complex data analysis.
  • Manage the timeline and deliverables of projects, anticipate risks and resolve issues.
  • Adopt best practices in reporting: data integrity, test design, validation, and documentation.
  • Have knowledge of AI (Artificial Intelligence) /ML (Machine Learning) and other industry solutions in this space to know when to apply what to solve business problems.
  • Have proven track record of launching new products, solutions and managing projects end to end.
  • Excellence verbal and written communication skills.
  • Comfortable wearing multiple hats and go over and above to drive results.

Requirements

  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience writing complex SQL queries
  • Experience in Statistical Analysis packages such as R, SAS and Matlab
  • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Nice-to-haves

  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
  • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

Benefits

  • Medical, Dental, and Vision Coverage
  • Maternity and Parental Leave Options
  • Paid Time Off (PTO)
  • 401(k) Plan
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