Data Engineer II

About Amazon

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.

Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world.

Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind.

You'll also hear us say that at Amazon, it's always "Day 1." What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.

Position

Do you want to be in the forefront of engineering big data solutions that takes Transportation models to the next generation? Do you have a solid analytical thinking, metrics driven decision making and want to solve problems with solutions that will meet the growing worldwide need? We are looking for top notch Data Engineers to be part of our world class Transportation Business Intelligence team. We are building real time analytical platforms using big data tools and AWS technologies like Hadoop, Spark, EMR, SNS, SQS, Lambda, Kinesis Firehose, DynamoDB Streams.

The ideal candidate relishes working with large volumes of data, enjoys the challenge of highly complex technical contexts, and, above all else, is passionate about data and analytics. He/she is an expert with data modeling, ETL design and business intelligence tools and passionately partners with the business to identify strategic opportunities where improvements in data infrastructure creates out-sized business impact. He/she is a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail), and enjoys working in a fast-paced and global team. It's a big ask, and we're excited to talk to those up to the challenge!

• 4-7 years of experience performing quantitative analysis, preferably for an Internet with large, complex data sources
• Hands-on experience on Big data technologies and frameworks. Hive, Spark, Hadoop, SQL on Big Data, Redshift
• Experience in near real time analytics
• Experience with scripting languages i.e. Python, Perl, etc.
• Experience with ETL, Data Modeling, and working with large-scale datasets
• Extremely proficient in writing performant SQL working with large data volumes
• Ability to manage competing priorities simultaneously and drive projects to completion
• Bachelor's degree or higher in a quantitative/technical field (e.g. Computer Science, Statistics, Engineering)
• Experience with large scale data processing, data structure optimization and scalability of algorithms a plus

Your qualification

• 5+ years of experience as a Data Engineer or in a similar role
• Experience with data modeling, data warehousing, and building ETL pipelines
• Advanced SQL

Will be a plus

Experience with large scale data processing, data structure optimization and scalability of algorithms a plus