Data Engineer II, Price Perception and Evaluation Science

Amazon • Seattle, WA

3h

About The Position

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.

Requirements

• 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

Nice To Haves

• 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)
• Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices.
• Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences.

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

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level