Data Engineer, Global Planning, Amazon Leo

Amazon is a leading technology company known for its innovation and commitment to customer service. They are seeking a Data Engineer for the Global Planning team to build data infrastructure and support demand science and forecasting models. The role involves developing ETL pipelines, improving data architecture, and ensuring data governance and accuracy.

Responsibilities

• Develop Leo data products, infrastructure and ETL pipelines to ingest, parse and transform Geospatial datasets from external & internal APIs using AWS big data technologies (Glue, S3, Redshift, MWAA, EMR, Data Zone, Lambda, etc.)
• Work alongside Data Scientists, Applied Scientists, Software Engineers and Simulation Engineers to develop appropriate data assets for statistical modeling, system integration and capacity simulations
• Improve existing solutions and come up with next generation Leo's Data Architecture to improve scale, quality and performance
• Implement data governance best practices to ensure data accuracy, consistency, and compliance with security and privacy regulations
• Develop and maintain scripts to automate processes to generate structured datasets for forecasting plans and system inputs, with focus on efficiency and scalability
• Build data dictionary, catalog and governance plan and manage and audit all of the registered data via internal mechanisms
• Provide technical guidance and support to data consumers to leverage Global Planning data assets

Preferred

• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
• AWS Redshift
• AWS S3
• AWS Glue
• AWS EMR
• AWS Kinesis
• AWS FireHose
• AWS Lambda
• IAM roles
• Non-relational databases
• Object storage
• Document stores
• Key-value stores
• Graph databases
• Column-family databases

Benefits

• Sign-on payments
• Restricted stock units (RSUs)
• 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
• Parental leave

Company

• Online retail and cloud computing services
• Seattle, Washington, USA
• https://amazon.com/
• Founded in 1994
• 10001+ employees

Qualifications

• 3+ years of data engineering experience
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience
• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

Required skills

• AWS EMR, AWS FireHose, AWS Glue, AWS IAM Roles and Permissions, AWS Kinesis, AWS Lambda, AWS Redshift, AWS S3, Data Engineering, Data Modeling, ETL/ELT Processes, Non-relational Databases, OLAP Technologies, SQL

Experience

• 3+ years