Data Engineer II, Analytics Delivery Services; ADS

Job  |  Services LLC

Analytics Delivery Services (ADS) is a centralized technology, data, reporting, and analytics organization that supports over a million employees globally, spanning support across NA Customer Fulfillment, Global Operations Learning & Development and PXT Capability & Impact, and Employee Relations (ER).

We are looking for a skilled Data Engineer to build and optimize scalable data solutions that support our mission of securely managing, distributing, and storing ER data. This team plays a critical role in defining the data strategy for Employee Relations by architecting and maintaining data infrastructure that enables accurate and efficient data access for downstream applications and teams. The ideal candidate will collaborate with cross-functional teams, including Data Scientists, Business Intelligence Engineers (BIE), and Software Development Engineers, to deliver impactful data solutions.

As a Data Engineer, you will analyze large amounts of business data, solve real world problems, and develop metrics and business cases that will enable us to continually deliver on people metrics. You will monitor and improve data infrastructure performance, troubleshoot bottlenecks and implement optimizations to make the data more actionable to manage business  will own many large datasets, production pipelines, automate anomaly detection models, data models, and implement new data pipelines that feed into or from critical data systems at Amazon.

• Work closely with senior engineers to model, implement data pipelines that feed into or from people data across middle and last mile.
• Own the delivery of data modeling and data pipelines.
• Manage and execute against project plans and delivery commitments.
• Assist directly and indirectly in the continual hiring and development of technical talent.
• Create and execute appropriate quality plans, project plans, test strategies and processes for development activities in concert with business and project management efforts.
• Maintain in-house cluster and continuously work on improving cluster health with enabling alerts and key functions.

• 3+ years of data engineering experience.
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes.
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies.
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling.
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL.
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using Oracle.
• Experience with data modeling, warehousing and building ETL pipelines.

• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, Fire Hose, 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).

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

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 (Use the "Apply for this Job" box below)..

USA, TX, Dallas -  -  USD annually