Sr. Data Engineer

Amazon Last Mile tech is seeking an extraordinary DE to join the Mbarq team.

At Amazon, we are working to be the most customer-centric company on earth -- including how we fulfill and deliver customer orders. The goal of Amazon’s Service Partner (DSP) Management Team 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 experience through the introduction of pioneering new products and services in the last mile space.

The NA DSP team is seeking an exceptional Senior to join the team. This person will play a key role in providing the end-to-end engineering solutions to support key business initiatives. If you are passionate about technologies, strongly biased to go deep to find insights and build scalable real time analytical platform, relentless in ensuring quality and reliability, and feel comfortable communicating with different levels of leadership, you are the candidate we are looking for!

You should have deep expertise in the , creation, management, and business use of large datasets, across a variety of data platforms. You should have excellent business and interpersonal skills to be able to work with business owners to understand data requirements, and to build to ingest the into the lake. You should be an authority at crafting, implementing, and operating stable, scalable, low cost solutions to flow from production systems into the lake. Above all you should be passionate about working with huge sets and someone who loves to bring datasets together to answer business questions and drive growth.

As a Senior , you will develop new engineering patterns that leverage new cloud architectures, and will extend or migrate existing pipelines to the architectures as needed. You will be responsible for designing and implementing the complex pipelines in platform and other BI solutions to support the rapidly growing and dynamic business demand for , and use it to deliver the as service which will have an immediate influence on day-to-day decision making at Amazon.com

Basic Qualifications

This position requires a Bachelor's Degree in Computer Science or a related technical field, and 5+ years of meaningful employment experience.

· 5+ years of relevant work experience in engineering, , Modeling, and Architecture.
· Expert-level skills in writing and optimizing .
· Experience with technologies such as Hive/Spark, EMR, Glue, Lambda and Kinesis.
· Proficiency in one of the scripting languages - , ruby, java or similar.
· Experience operating very large warehouses, lakes and building streaming pipelines.
· Proven interpersonal skills and standout colleague.
· A real passion for technology. We are looking for someone who is keen to demonstrate their existing skills while trying new approaches.

Preferred Qualifications

· Master’s or Bachelor degree in Computer Science, Engineering, or related field
· Authoritative in ETL optimization, designing, coding, and tuning big data processes using Apache Spark or similar technologies.
· Experience with building data pipelines and applications to stream and process datasets at low latencies.
· Demonstrate efficiency in handling data - tracking data lineage, ensuring data quality, and improving discoverability of data.
· Sound knowledge of distributed systems and data architecture (lambda)- design and implement batch and stream data processing pipelines, knows how to optimize the distribution, partitioning, and MPP of high-level data structures.
· Knowledge of Engineering and Operational Excellence using standard methodologies.
· Ability to work on a diverse team or with a diverse range of coworkers


“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

We believe passionately that employing a diverse workforce is central to our success and we make recruiting decisions based on your experience and skills. We welcome applications from all members of society irrespective of age, gender, disability, sexual orientation, race, religion or belief.”