Data Engineer, Central Learning Solutions - Data Engineering Team

## DESCRIPTION

The Central Learning Solutions - Technology team builds state-of-the-art Artificial Intelligence (AI) solutions for enhancing leadership and associate development within the organization. We develop products and mechanisms for measuring the impact of learning programs, improving the training content and recommending the personalized learning courses based on the post-training performance curves for different learner profiles.
Key job responsibilities
As a Data Enablement team within Central Learning Solutions, our key responsibilities encompass creating a single source of truth for both structured and unstructured data. This includes building comprehensive data lakes and data warehouses that enable science and AI applications to consume reliable data.
Our core focus areas include:
Data Infrastructure: Maintaining robust pipelines and frameworks that ensure validated, true-source data with end-to-end documentation and tracking
Self-Service Analytics: Producing proactive insights and vending actionable outcomes to customers
Data Quality: Implementing validation mechanisms at each infrastructure layer to ensure trustable business insights
The Data Engineering team consists of four engineers working collaboratively to deliver highly reliable data infrastructure. We enable data access from multiple sources with real-time to near real-time ingestion, integrating learning data across systems to create a central repository for all LMS data, Kirkpatrick metrics, and L4 quality metrics.
This role involves working alongside three other engineers to build and maintain the data infrastructure that powers analytical consumption for Data Science teams, BI teams, SDE teams, and external line of business partners.
A day in the life
You'll independently work on user stories while coordinating with Software Development Engineering and Data Science teams on workflows, design, and data layer patterns. Collaborating with TPMs and Product Managers, you'll ensure data requirements are met while working within the single source of truth architecture.
Your responsibilities include maintaining data lakes, producing automation and orchestration tools, and contributing to build and launch exercises. Operating in sprints, you'll independently lead your assigned area, work on roadmaps, and cross-collaborate outside CLS Analytics teams to drive data engineering products and maintain infrastructure.
About the team
Central Learning Solutions Tech is a dedicated analytics, data engineering, data science, and software development team working with worldwide operations to build products that enable content creators to operate efficiently. We provide AI-driven insights and value to learners (under-the-roof associates ) , driving productivity and improving learning outcomes. Our team collaborates closely with content creators to deliver direct value for associates across the world through the products we create.

## BASIC 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
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using Oracle experience
• Experience with data modeling, warehousing and building ETL pipelines

## PREFERRED QUALIFICATIONS

• 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)

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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, WA, Bellevue - 132,100.00 - 178,800.00 USD annually