Data Engineer II, PPE Product Intelligence

Amazon

Seattle, WA

JOB DETAILS
SKILLS
AWS Lambda, Advertising, Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Analysis Skills, Automation, Big Data, Business Intelligence, Business Processes, Communication Skills, Data Collection, Data Lake, Data Management, Data Modeling, Data Sets, Data Structures, Data Visualization, Data Warehousing, Database Extract Transform and Load (ETL), Electronic Medical Records, Emerging Technology, Engineering, Establish Priorities, Finance, Machine Learning, OLAP (OnLine Analytical Processing), Process Development, Process Improvement, Product Pricing, Productivity Management, Project Evaluation, Python Programming/Scripting Language, Quality Management, Relational Databases (RDBMS), Requirements Management, SQL (Structured Query Language), Team Player
LOCATION
Seattle, WA
POSTED
30+ days ago
Description Amazon's Price Perception and Evaluation team is seeking a driven Data Engineer to work on exciting price evaluation projects. As a Data Engineer, you will design, implement and support scalable data infrastructure solutions to integrate with multi heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in machine learning models and ad-hoc data requests. You will be exposed to AWS big data technologies. You should have excellent business and communication skills to be able to work with business owners and applied scientists to gather infrastructure requirements, design data infrastructure, build up data pipelines and datasets to meet business needs. You stay abreast of emerging technologies, investigating and implementing where appropriate. Key job responsibilities - Design, implement, and support data warehouse/ data lake infrastructure using AWS bigdata stack, Python, Redshift, QuickSight, Glue/lake formation, EMR/Spark, Athena etc. - Develop and manage ETLs to source data from various systems and create unified data model for machine learning models. - Continual research of the latest big data and visualization technologies to provide new capabilities and increase efficiency. - Working closely with a team of scientists to drive price evaluation model research. - Manage numerous requests concurrently and strategically, prioritizing when necessary 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 - Experience with data modeling, warehousing and building ETL pipelines - Bachelor's degree 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) - Experience creating processes and improving tools that have measurably improved productivity, quality, or advertiser experience - Experience in creating process improvements with automation and analysis, or experience in identifying, leading, and executing opportunities to improve, automate, standardize or simplify finance or business tools and processes 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, Seattle - 132,100.00 - 178,800.00 USD annually

About the Company

A

Amazon

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
COMPANY SIZE
10,000 employees or more
INDUSTRY
Other/Not Classified
FOUNDED
1994
WEBSITE
http://Amazon.com/militaryroles