The International stores Finance Central tech team is looking for a passionate and solution oriented Data Engineering for designing and implementing the complex ETL pipelines and analytics solutions to support the rapidly growing and dynamic business demand for data and use it to deliver the data as service which will have an immediate influence on daytoday decision making at Amazon
We are seeking a strong experienced Data Engineering who will lead the technical design development and launch of a new global system that will serve finance needs worldwide. Their technical skill set will deliver a new system and services that will be at the core of making it easier for customers to do business with Amazon Retail. A strong candidate will have experience with designing and building secure distributed systems that operate globally. They will have experience in building on AWS and be responsible for the architecture design and implementation that will provide availability and latency guarantees. Finally they will be leaders on the team and will raise the bar for the organization by mentoring junior engineers interviewing and setting a high bar for coding standards.
Key job responsibilities 5 years as a Data Engineer or in a similar role Experience managing a data or BI team Experience with data modeling data warehousing and building ETL pipelines Experience leading and influencing the data strategy of your team or organization Experience in SQL A Bachelors degree in Computer Science or similar major Handson experience leading delivery and operations of distributed high quality systems Fundamentals in data structures algorithm problem solving and complexity analysis
5 years of data engineering experience Experience with data modeling warehousing and building ETL pipelines Experience with SQL Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS Experience mentoring team members on best practices
Experience with big data technologies such as: Hadoop Hive Spark EMR Experience operating large data warehouses
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