Data Engineer , DE II, Maintenance Automation Plat...

• Computer Science or equivalent degree.
• Knowledgeable in a variety of strategies for ingesting, modelling, processing, and persisting data.
• Proficiency in a scripting language (e.g. Perl, Python, KornShell, Scala).
• Experience with SQL and NoSQL databases.
• Understands one or more schema definition languages (e.g. DDL, SDL, XSD, RDF)
• Can articulate differences between datatypes (e.g., JSON/NoSQL, relational)
• Is able to create a physical data model
• Able to dive deeply into technical details (e.g., key dependencies, design choices, operability, etc.) and drive a constructive technical discussion.
• Familiar with the implications of different implementation decisions (e.g. distribution, normalization).
• Understands distributed systems concepts, primarily as it pertains to data storage and compute

Job summary
Amazon is looking for a Data Engineer to develop, build and scale data modeling solutions powering one of the world’s largest Reliability, Maintenance Engineering enterprises. As a member of the Automation Engineering team, this highly motivated candidate supports the business in all data engineering aspects of the traditional automation pyramid, and will provide consumers information on all aspects of the status of control systems within Amazon’s EU Fulfillment Network. At a basic level, these systems link our low-level automation systems with the cloud and we work at the cutting edge of automation technologies, from device level to the enterprise level. The more complex systems are leveraging Machine Learning and Big Data to drive predictive actions, preventing downtime or defects in the material handling equipment and improving the Overall Equipment Efficiency of the installations.

This is a fantastic opportunity to work with some of the best engineers in the industry and help support and shape the direction of automation and machine learning systems within one of the world’s largest fulfillment networks.

• You are knowledgeable in a variety of strategies for ingesting, modelling, processing, and persisting data.
• You are able to use one or more query languages (e.g. SQL, HiveQL, SPARQL), schema definition languages (e.g. DDL, SDL, XSD, RDF), and scripting languages (e.g. Perl, Python, KornShell, Scala) to build a data solution.
• You understand distributed system concepts from a data storage and compute perspective.
• You understand the differences between data persistence solutions (e.g. HDFS vs RDBMS), data integration techniques (e.g. ETL vs federation), database optimization (e.g. partitioning, distribution, indexing), and join algorithms (e.g. hash vs nested loop).
• You write secure, stable, testable, maintainable code with minimal defects. You are able to create physical data models and optimize data pipelines for simple datasets.
• You do not put the company at risk (e.g. proper access control, data integrity, auditability, etc.). You get your data models, pipeline designs, and code reviewed. You test your code thoroughly. You classify, store, and handle data in accordance with Amazon policies
• You work effectively with customers (e.g., Business Analysts, Data Scientists, etc.) and other internal partners to identify opportunities/problems.
• Able to prioritize in complex, fast-paced environment.
• Knowledge of IoT networks and technologies
• Knowledge of Business Intelligence tools (Power BI, QuickSight)
• Understands how to leverage AWS services for data ingestion/modelling/storage

About our rewards:
We’ll expect you to go the extra mile, but we’ll also make sure you’re well rewarded. As well as a competitive salary, stock units and site performance-related pay potential, we offer a whole host of other benefits, including an employee discount.

Additionally, you will find yourself in a stimulating environment where you can develop processes as well as yourself as an individual by working with some of the best and brightest minds in the industry. Our rapidly growing organisation also offers many opportunities for building a diverse and rewarding career.

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.