Offers “Amazon”

Expires soon Amazon

Data Engineer

  • Seattle (King)
  • IT development

Job description

DESCRIPTION

Amazon is looking for a Data Engineer to join the Selling Partner Development team. This team specifically focuses on growing the retail business profitably by partnering with Amazon vendors and providing them with actionable recommendations

We are looking for a team-player to play a significant part in defining our team efforts. The successful candidate will be a self-starter, comfortable with ambiguity and be able to create and maintain efficient & automated processes. They will have to set the right vision, strategy and road map and work alongside with stakeholders in the organization to make it happen.

Our team is building a recommendation platform to help Selling Partners grow their business on Amazon. Our mission is to provide the most relevant and timely recommendations to our vendors. Our culture is to make metrics-driven decisions. We generate tons of metrics and analyze them to continuously raise the bar on our recommendations. We aggressively embrace AWS technologies like DynamoDB, S3, Kinesis, SQS/SNS, Firehose, Lambda, Elastic Search, EC2, and Redshift continuously to scale our ecosystem.

We are seeking an outstanding Data Engineer to join our team. As a full-time DE, you will have fun designing, prototyping and building, services, data pipelines, and awesome user experiences. We are looking for a talented, hands-on developer, who takes pride in building simple solutions for complex problems, and continuously raises the bar in coding excellence, design and development process. If you are a proactive problem solver that easily balances trade-offs between competing interests; thrive in an environment where you can give direction in order to create the optimal solution; and your solutions are technically precise and easily understood, we want to hear from you!

In this role you will be expected to:
· Design, implement, and support a platform providing secured access to large datasets;
· Model data and metadata to support ad-hoc and pre-built reporting;
· Tune application and query performance using Unix profiling tools and SQL;
· Work closely with the business teams to make sure data requirements are met;
· Be challenged to solve complex problems;
· Assure production code quality;
· Understand business processes, applications and how data is gathered;
· Develop and manage data pipelines at enterprise scale;
· Build data expertise and own data quality for various data flows;
· Launch and support new data models that provide intuitive analytics to your customers;
· Design and develop new framework and automation tools to enable folks to consume and understand data faster.

Desired profile

BASIC QUALIFICATIONS

· BS or MS in Computer Science, Mathematics, Statistics, Economics, or related field
· Experience working with large data sets in order to extract business insights or build predictive models (data mining, machine learning, regression analysis
· 3+ years of professional experience as a data engineer or in a related field/role.

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