Are you eager to apply your data engineering skills in reshaping one of the worlds largest datadriven logistics systems Amazons 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 decisionengines in the world.
Amazons 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 modern data infrastructures to support reshaping one of the worlds most complex automated datadriven logistics systems.
In this role you will drive the development of data engineering solutions from initial experimentation to production level deployment including the following Identify gaps and improvement opportunities in existing data infrastructure; Design implement and maintain a modern cloudbased datainfrastructure for large datasets; 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 fastpaced collaborative development environment. You will be selfdriven communicate and collaborate effectively with different technical and nontechnical stakeholders mentor junior colleagues propagate best practices drive innovation and deliver successfully against high operational standards.
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 a brand new data infrastructure to generate mapbased reports for key business metrics.
1 years of data engineering experience 2 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience Bachelors degree in a quantitative/technical field such as computer science engineering statistics Knowledge of distributed systems as it pertains to data storage and computing Experience with data modeling warehousing and building ETL pipelines Experience with one or more query language (e.g. SQL PL/SQL DDL MDX HiveQL SparkSQL Scala) Experience with one or more scripting language (e.g. Python KornShell)
Experience with big data technologies such as: Hadoop Hive Spark EMR Experience with any ETL tool like Informatica ODI SSIS BODI Datastage etc.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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