Are you excited about the digital media revolution and passionate about designing and delivering advanced analytics that directly influence the product decisions of Amazon's digital businesses.
Do you see yourself as a champion of innovating on behalf of the customer by turning data insights into action?
The Amazon Digital Acceleration (DA) org is looking for an analytical and technically skilled individual to join our team.
In this role, you will play a critical part in developing foundational data instrumentation components to seamlessly surface relevant digital content to Amazon customers.
An ideal individual is someone who has deep data engineering skills around ETL, data modeling, database architecture and big data solutions.
This individual should have strong business judgement, excellent written and verbal communication skills.
Key job responsibilities
Develop data products, infrastructure and data pipelines leveraging AWS services (such as Redshift, Kinesis, EMR, Lambda etc.
and internal BDT tools (Datanet, Cradle, QuickSight etc.
- Improve existing solutions and come up with next generation Data Architecture to improve scale, quality, timeliness, coverage, monitoring and security.
- Partner with Software Developers, Business Intelligence Engineers, MLEs, Scientists, and Product Managers to develop scalable and maintainable data pipelines on both structured and unstructured (text based) data.
- Lead design reviews for other Data Engineers on the team and actively participate in design reviews of related tech products.
- Provide technical and thought leadership for Data Engineering and Business Intelligence within the org.
About the team
Amazon Digital Acceleration powers ordering, subscriptions, and device management for Prime, Amazon Video, Music, Audible, Alexa, and Kindle, amongst other digital businesses.
We process billions of digital purchases every year and enable our digital businesses to grow their businesses worldwide.
We are on a mission to be earth's best provider of one-time and recurring digital commerce, delivering a seamless and enjoyable post-purchase customer experience.
This team is a dynamic group of data engineering and analytics professionals dedicated to developing innovative data products, providing data-driven services, and empowering the organization with robust business intelligence.
Composed of talented individuals from diverse backgrounds, we foster a collaborative culture of excellence, knowledge-sharing, and collective problem-solving.
We are committed to staying at the forefront of data trends, continuously expanding our expertise to deliver tailored solutions that address our stakeholders' evolving needs.
BASIC QUALIFICATIONS
- 5+ years of data engineering experience
- Experience with SQL
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with big data technologies such as : Hadoop, Hive, Spark, EMR
- Experience communicating with users, other technical teams, and management to collect requirements, describe data modeling decisions and data engineering strategy
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
PREFERRED QUALIFICATIONS
- Experience providing technical leadership and mentoring other engineers for best practices on data engineering
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