Data Engineer, People eXperience and Technology (PXT) Central Science ID-9692
Description
The People eXperience and Technology (PXT) Central Science Team uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, wellbeing, and the value of work to Amazonians. We are an interdisciplinary team which combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal. We invest in innovation and rapid prototyping of scientific models and software solutions to accelerate informed, accurate, and reliable decision backed by science and data.
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We are looking for an experienced data engineer engineer to integrate data sources and create a data infrastructure to model and research all aspects of HR, including: workforce planning, recruiting, employee engagement, retention, development, employee benefits, and compensation. Lead information architecture workstream, automate ingestion and consumption using AWS toolsets and data mesh implementations. Build data taxonomy to organize data by subject matter domains. Develop a seamless vending strategy for sharing data with PXT and Amazon stakeholders. Lead data curation for easy consumption in science models. Lead and streamline data governance for protecting privacy for Amazonians.
The ideal candidate is expected to work closely with senior scientists and business leaders to study the impact Amazon has had on workers, the market, and the economy. You will build new data engineering solutions end-to-end, will work with multiple stakeholders across HR and Operations, and will build data pipelines/automation that can be used by distributed systems to run statistical and ML models. A successful candidate will have a passion for innovation, interest in cutting-edge technology, and excitement about working in a high-impact domain.
Basic Qualifications
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
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 committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.