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

Amazon.com, Inc.
Nashville, TN, United States
2 months ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$99,500.0 - $160,000.0
Working hours
Regular working hours
Job source

Tech stack

Agile Methodology Artificial Intelligence Amazon Elastic Compute Cloud Amazon S3 Data Analysis Big Data Databases Data Governance Data Integrity Extract Transform Load (ETL) Data Mining Data Visualization
+18 more
Data Warehousing Amazon DynamoDB R (Programming Language) Python (Programming Language) MATLAB NoSQL Oracle (Applications) Scrum Methodology SAS (Software) SQL Databases Tableau (Software) Data Processing Scripting Mobile Robots Apache Spark AWS Lambda Data Pipelines Amazon Redshift

Job description

  • 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. Additionally, working 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.

  • Ensure excellence in verbal and written communication.

Requirements

Do you have experience in Technical writing within technology?, * 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 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, DynamoDB, 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

Benefits & conditions

Pulled from the full job description

  • AD&D insurance
  • Parental leave
  • 401(k)
  • Health insurance
  • 401(k) matching
  • Paid time off
  • Vision insurance, 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan

If you are not sure that every qualification on the list above describes you exactly, we’d still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

About the team The Amazon Robotics (AR) Technology Enablement Services (TES) Team enables AR’s people, purpose, and place to deliver the future. We remove barriers, drive organizational productivity, and foster growth. We serve AR leadership, product customers, and employees, and collaborate with teams throughout FTR. Creating a safe, inclusive, and productive workplace experience. Designing and iterating on learning, development, and engagement solutions to support needs of operators and employees. Synthesizing and articulating AR’s long-term strategy, near-term goals, product roadmaps, and workforce strategy. Developing and managing cross organizational mechanisms, reporting, programs, and Sustainability efforts., The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. USA, MA, Boston - 99,500.00 - 160,000.00 USD annually USA, MA, North Reading - 99,500.00 - 160,000.00 USD annually USA, MA, Westboro - 99,500.00 - 160,000.00 USD annually

About the company

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 across Amazon 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.

This is a rare opportunity to work with a team building AI systems that operate at Amazon scale while solving novel technical challenges in computer vision, natural language processing, and human-AI collaboration. You’ll collaborate with world-class scientists, engineers, and operations teams to deploy state-of-the-art research into production systems that deliver real-world impact at global scale.

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