Senior Data Engineer
Come build the future as a Senior Data Engineer at Amazon, where you will be inspired working along best-in-class inventors and innovators! You will have the opportunity to create meaningful experiences that deliver on the ever-evolving needs of our customers, and your work will impact millions of people around the world.
As an Amazon Senior Data Engineer, you will solve unique and complex problems at a rapid pace, utilizing the latest technologies to create solutions that are highly scalable. You will find that there is an unlimited number of opportunities within Amazon, where developing your career across a wide range of teams is highly supported. We are committed to making your work experience as enjoyable as the experiences you’ll be creating for our customers.
Minimum Qualifications:
- 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
Key Job Responsibilities:
- Set the technical strategy for the team
- Lead complex technical initiatives within the team
- Explore technical needs and bring solutions to the table
- Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.
- Assist in developing project plans and commitments, and then deliver consistently against those commitments.
- Build good working relationships within the team by communicating clearly both verbally and in writing
- Continuously optimize solutions to improve overall Platform performance, availability and fault tolerance
- Drive Operational excellence through metrics driven approach
- Understand customer pain points, build solutions to make large and/or complex data more accessible, understandable and usable by applications and teams
- Mentor and lead developers by cultivating curiosity, deep technical understanding through collaboration, code reviews, and leading by example.
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $139,100/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.
This position will remain posted until filled. Applicants should apply via our internal or external career site.
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