Business Intel Engineer - II, Robotics, Robotics, Global Operations - Artificial

Business Intel Engineer - II, Amazon Robotics, Amazon Robotics, Global Operations - Artificial Intelligence (GO-AI)

Job :  |  Services LLC

Amazon Robotics is at the forefront of applying state‑of‑the‑art artificial intelligence to solve real‑world challenges at unprecedented scale. Our fulfillment centers handle more individual items than any company in the world, combining computer vision, mobile robots, advanced end‑of‑arm tooling, and high‑degree of freedom movement with state‑of‑the‑art AI. We collaborate with customers worldwide to conceive, develop, prototype and deploy intelligent robotic systems that push the boundaries of industrial automation.

Within Amazon Robotics, the Global Operations - Artificial Intelligence (GO‑AI) team enables Amazon to accelerate and scale the next generation of AI‑powered robotic solutions. We’re transforming how complex visual reasoning tasks are performed across Amazon’s robotics operations, moving from traditional manual data annotation processes to state‑of‑the‑art foundation model solutions.

As a Business Intelligence Engineer on GO‑AI’s Technology & Development Team, you’ll work with cross‑functional teams (Science, Software, Data, BIE) managing massive‑scale, proprietary datasets to develop foundation models that achieve human‑level performance on complex real‑world tasks. Your work will directly impact millions of daily operations across Amazon’s global fulfillment network.

• Design, develop and operate scalable, performant data warehouse (Redshift) tables, data pipelines, reports and dashboards.
• Develop moderately to highly complex data processing jobs using appropriate technologies (SQL, Python, Spark, AWS Lambda, etc.).
• Develop dashboards and reports.
• Collaborate with stakeholders to understand business domains, requirements and expectations; work with owners of data source systems to gain insights into capabilities and limitations.
• Deliver minimally to moderately complex data analysis.
• Adopt best practices in reporting: data integrity, test design, validation and documentation.
• Demonstrate excellence in verbal and written communication.
• Wear multiple hats and go above and beyond to drive results.

• 3+ years of analyzing and interpreting data with Redshift, Oracle, No
  
  SQL, etc.
• Experience with data visualization using Tableau, Quicksight or similar tools.
• Experience with data modeling, warehousing and building ETL pipelines.
• 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.
• Experience translating customer needs into business requirements.
• Experience writing and optimizing SQL queries with large‑scale, complex datasets.
• Experience documenting data models, pipelines and metrics definitions.

• Experience with AWS solutions such as EC2, Dynamo
  
  DB, S3 and Redshift.
• Experience in data mining, ETL, etc., and using databases in a business environment with large‑scale, complex datasets.
• Experience using Python scripting to process data for modeling.
• Experience working with cross‑functional teams.
• Experience working in an Agile or Scrum environment.
• Knowledge of data governance, privacy and security best practices.

• Medical, Dental and Vision coverage.
• Maternity and Parental Leave options.
• Paid Time Off (PTO).
• 401(k) plan.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability or other legally protected status.