Sr. Data Engineer, FireTV Experience
DESCRIPTION
Fire TV is reshaping the way millions of people watch, engage with, and enjoy entertainment content every day. We are seeking an experienced Sr. Data Engineer who is passionate about using data to surface customer insights that will influence the development of new and improved customer experiences on Fire TV. If you enjoy working with cross-functional teams to deliver robust and scalable analytics and ML solutions to address complex problems, and thrive in a fast-paced, changing environment, then this opportunity is for you.
A successful candidate is an expert in Big Data engineering concepts, data architecture design, performance tuning, and data modeling. They are comfortable working independently in an ambiguous and fast- paced environment, and are able to think big while paying attention to detail. They can communicate with both technical experts and non-experts, and have an analytical mindset that helps them connect their work to the needs of their data customers.
Key job responsibilities
- Collaborate with scientists, engineers, software developers, and business leaders to define data system requirements and provide solutions
- Develop robust, scalable and maintainable data systems with a combination of in-house tools and standard technologies (e.g. SQL, Python and Spark)
- Build with operational best practices (e.g. dashboarding and monitoring/alarming to ensure data integrity)
- Design and implement durable data models for FTV datasets
- Protect data to ensure customer trust
About the team
Our team is part of the Fire TV Experience org and is comprised of Business Intelligence Engineers and Analysts, Data Engineers, and Data Scientists. We take pride in building scalable, reliable, and trustworthy data products that empower our stakeholders to make data-driven decisions to improve the quality of the Fire TV and Alexa products they deliver to customers. We encourage leaders who foster cross-team collaboration and can drive consensus horizontally across teams. We are at our best when we have a deep understanding of how our data directly reflect customer experiences and can be used to surface customer needs.
BASIC 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
PREFERRED QUALIFICATIONS
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses
- Experience working with a cloud services platform (specific experience with AWS technologies, e.g., Redshift, S3, EC2, is a plus but not required)
- Experience architecting large scale BI solutions
- Experience gathering business requirements and using industry standard business intelligence tools to extract data, formulate metrics and build reports
- Proven track record of successful communication of analytical outcomes, including an ability to effectively communicate with both business and technical teams
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.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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. 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.