Are you eager to apply your data engineering skills in reshaping one of the world's largest data-driven logistics systems?
Amazon's Modeling and Optimization team (MOP) is recruiting motivated individuals with strong data engineering skills to evolve the data infrastructure underlying one of the most sophisticated optimization decision-engines in the world.
Amazon’s extensive logistics system comprises thousands of fixed infrastructure nodes with millions of possible connections between them.
Billions of packages flow through this network on a yearly basis, making the impact of decision improvements truly unparalleled.
This magnificent challenge is a terrific opportunity for developing cutting-edge data infrastructures to support reshaping one of the world's most complex, automated, data-driven logistics systems.
In this role, you will drive the development of data engineering solutions from initial experimentation to production level deployment, including the followings.
Identify gaps and improvement opportunities in existing data infrastructure. Design, implement, and maintain a cutting-edge cloud-based data-infrastructure for large data-sets.
Migrate existing data pipelines to your newly developed solutions. Create and manage large datasets by extracting, transforming, combining, and loading data from various heterogeneous data sources.
Maintain data integrity, availability, and auditability. Manage AWS resources. Drive the adoption of new technologies and new best practices.
The successful candidate will combine strong technical abilities and leadership skills to deliver business value in a fast-paced, collaborative development environment.
You will be self-driven, communicate and collaborate effectively with different technical and non-technical stake-holders, mentor junior colleagues, propagate best practices, drive innovation, and deliver successfully against high operational standards.
Key job responsibilities
You will build data infrastructure, metrics, reports and other data products on native AWS to monitor the overall health of Amazon's global supply chain and fulfillment network.
A day in the life
Build data infrastructure and data reports that will provide high-level as well as detailed views to leaders in Amazon Operations about key metrics and provide uninterrupted data access to research scientists in MOP team for key initiatives.
You will also build and maintain our website to create interactive map-based view of these metrics to monitor the health of our supply chain.
About the team
Our team is a mix of SDEs and Data Engineers and we build all our products from scratch on native AWS to solve business problems.
Few of the systems that we invent and simplify include backend software and web apps to handle the impact of weather, simulation system to rethink Amazon order fulfillment and data infrastructure to generate map-based reports for key business metrics.
BASIC QUALIFICATIONS
- 3+ years of data engineering experience
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Knowledge of distributed systems as it pertains to data storage and computing
- Experience with data modeling, warehousing and building ETL pipelines
- Experience working on and delivering end to end projects independently
- Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby
- Experience with Redshift, Oracle, NoSQL etc.
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)
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