Description

Are you excited about building best in class data engineering products and solutions and solving complex engineering problems to enable actionable insights and improve delivery experience? Are you looking for an opportunity to define data engineering roadmap, work with cross functional tech and business teams, and build data solutions that is critical to Amazon’s continued ability to deliver smiles in communities? The DSP Analytics Team has an exciting opportunity for a Senior Data Engineer to make an impact on the Amazon’s Delivery Service Partner (DSP) program.

The goal of Amazon’s DSP organization is to exceed the expectations of our customers by ensuring that their orders, no matter how large or small, are delivered as quickly, accurately, and cost effectively as possible. To meet this goal, Amazon is continually striving to innovate and provide best in class delivery experience through the introduction of pioneering new products and services in the last mile delivery space.

DSP analytics team is seeking a highly-motivated and exceptional Sr Data Engineer who can think holistically through multidimensional problems to understand how systems work together to identify and execute both tactical and strategic data engineering projects. If you are passionate about big data technologies, building scalable real time analytical solutions, relentless in ensuring data quality and reliability, and feel comfortable communicating at different levels of leadership, you are the candidate we are looking for! In this role, you will envision, design and develop ground breaking data solutions to scale science feature storage and management, improve telematics signal coverage and quality, and promote efficiency in DSP capacity planning processes. You should be passionate about helping the organization move towards data as a service model to influence day-to-day business decisions. You will guide junior data engineers, business intelligence engineers, tech team members and leaders to make informed data decisions.

Key job responsibilities

• Develop DSP data products, infrastructure and data pipelines leveraging AWS services (such as Redshift, Kinesis, EMR, Lambda etc.) and internal Amazon tools (Datanet, Cradle, QuickSight etc.)

• Improve existing solutions and come up with next generation DSP Data Architecture to improve scale, quality, timeliness, coverage, monitoring and security

• Work closely with business/tech stakeholders and leadership team to define the engineering roadmap and structure of our data solutions

• Collaborate with Science teams to scale feature storage and management

• Lead design reviews for other Data Engineers on the team and actively participate in design reviews of related DSP tech products

• Provide technical and thought leadership for Data Engineering and Business Intelligence within DSP org

About the team

We are the centralized Amazon DSP Analytics team with the vision to build best-in-class analytics solutions to support our internal and external DSP stakeholders and partners for making data driven decisions org-wide. We believe in promoting and using ideas to disrupt the status quo. In our team, you will have the opportunity to dive deep into complex business and data problems, drive high-impact and large scale data solutions and raise the bar for engineering and operational excellence. We have exceptionally talented and fun loving team members, and we love to share ideas and learnings with each other.

We are open to hiring candidates to work out of one of the following locations:

Bellevue, WA, USA

Basic Qualifications

• Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent

• 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 building data products incrementally and integrating and managing data sets from multiple sources

• Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets

• Experience providing technical leadership and mentoring other engineers for best practices on data engineering

Preferred Qualifications

• 7+ years of data engineering experience

• Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent

• Experience with big data technologies such as: Hadoop, Hive, Spark, EMR

• Proven record of successfully guiding and mentoring tech team members such as Data Engineers and Business Intelligence Engineer

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $123,700/year in our lowest geographic market up to $240,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.