ADCIKarnataka
Bangalore
Internet
- 3+ years of experience as a Data Engineer or in a similar role
- Experience with data modeling, data warehousing, and building ETL pipelines
- Experience in SQL
- 3+ years of management experience, including managing senior engineers.
- 7+ years of industry experience: you’ve written code, delivered systems, and managed teams.
- Proven record of growing individuals, coaching for high performance and performance improvements.
- Technical depth and breadth to understand software architecture and design, make technical tradeoff decisions, often with incomplete data.
- Ability to work across engineering teams and leaders to build a committed roadmap, and deliver on it.
- Ability to discern short term vs long term impact of technical decisions and able to balance between them as appropriate for the business.
- Excellent verbal and written communication that is tuned to the audience.
Job summary
Do you ever struggle to explain your work? How’s this: “Do you shop at Amazon? Do you know that box that says ‘Add to Cart’ and shows a price? Our team owns the model which picks that offer and the customer experience around the display of the offer price and the elements surrounding the ‘Add to Cart’ button which inform a purchase decision. We pick and display offers several billion times a day across all surfaces (mobile app, mobile web, desktop, Alexa shopping) worldwide.” The mission of the Amazon Offers Experience organization is to be the world’s first and most trusted choice for every customer on earth to discover and evaluate any product or service.
Our team blends machine learning models to rank and select the best offer from the most trusted merchant for all products sold on Amazon along with a world-class front-end user experience for offer comparison to our global customers. We are responsible for the experiences and services that enable developers, including our own, to create tailored shopping experiences for every customer, product, business and marketplace offered by Amazon. We build scalable and extensible frameworks which allow for many teams at Amazon to innovate within the Offers Experience in a federated manner. If you are passionate about influencing, designing, and delivering the next-generation Amazon customer buying experience, we want to meet you.
Key job responsibilities
As an Amazon.com Data Engineer you will be working in one of the world’s largest and most complex data warehouse environments. You should have deep expertise in the design, creation, management, and business use of extremely large datasets. We are looking for an Data Engineer to help build the next generation of Buy Box algorithms. These new set of algorithms will incorporate the continually changing preferences of our customers and continue to scale with numerous new programs that Amazon is introducing for our customers. You should be expert at designing, implementing, and operating stable, scalable, low cost solutions to flow data from production systems into the data warehouse and into end-user facing applications. You should be able to work with business customers in understanding the business requirements and implementing reporting solutions. Above all you should be passionate about working with huge data sets and someone who loves to bring datasets together to answer business questions and drive change.You will provide guidance and support for other engineers with industry best practices and direction.
- Design, implement and support a platform that can provide ad-hoc access to large datasets
- Model data and metadata to support adhoc and pre-built reporting
- Interface with business customers, gathering requirements and delivering complete BI solutions
- Tune application and query performance using Unix profiling tools and SQL
- 7+ years of management experience, including managing senior engineers.
- Experience building a roadmap and delivering high scale internet services.
- Experience managing multi-disciplinary teams working on multiple simultaneous projects.
- Ability to influence business and technical strategy of the larger organization outside areas of direct ownership.
- Experience working across teams in geographically diverse locations
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