Job Location: Hyderābād
• Bachelor’s degree in computer science, engineering, mathematics, or a related technical discipline
• Industry experience in software development, data engineering, business intelligence, data science, or related field with a track record of manipulating, processing, and extracting value from large datasets
• Experience using big data technologies (Hadoop, Hive, Hbase, Spark, EMR, etc.)
• Experience working with AWS big data technologies (EMR, Redshift, S3, AWS Glue, Kinesis and Lambda for Serverless ETL)
• Knowledge of data management fundamentals and data storage principles
• Knowledge of distributed systems as it pertains to data storage and computing
• Hands-on experience and advanced knowledge of SQL
• Basic scripting skills using Python and Scala
- This position would ideally be located in Seattle or Arlington, VA/DC.
The Team
Amazon Physical Stores is more start-up than big-company, a group of entrepreneurial, analytical, and creative leaders with innovation at our core. We’re pushing the state of the art in helping customers shop in engaging, fast, and safe ways. To date we’ve created stores that let you use an app to enter, take what you want from our fresh selection, and go (Amazon Go); a smart shopping cart that uses computer vision algorithms and sensor fusion to let you skip the checkout line (Amazon Dash Cart); and contactless services that let you pay, enter or identify yourself (Amazon One). Note: The specific team is internally and tech focused to delivery scalable solutions.
Our checkout-free shopping experience is made possible by our Just Walk Out Technology, which automatically detects when products are taken from or returned to the shelves and keeps track of them in a virtual cart. When you’re done shopping, you can just leave the store. Shortly after, we’ll charge your Amazon account and send you a receipt. Check it out at amazon.com/go. Designed and custom-built by Amazonians, our Just Walk Out Technology uses a variety of technologies including computer vision, sensor fusion, and advanced machine learning. Innovation is part of our DNA! Our goal is to be Earths’ most customer centric company and we are just getting started. We need people who want to join an ambitious program that continues to push the state of the art in computer vision, machine learning, distributed systems and hardware design.
We are seeking a Data Engineer to join our team in Seattle. Our ideal candidate is someone who is always learning and improving as the business grows and the relevant technologies continue to evolve. If you enjoy innovating, thinking big and want to contribute directly to the success of an industry changing business, you may be a prime candidate for this position.
CORE RESPONSIBILITIES:
Contribute to the architecture, design and implementation of next generation BI solutions – including streaming data applications.
Manage AWS resources including EC2, RDS, Redshift, Kinesis, EMR, Lambda etc.
Collaborate with data scientists, BIEs and BAs to deliver high quality data architecture and pipelines.
Interface with other technology teams to extract, transform, and load data from a wide variety of data sources
Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
About the team
JWO (Just walk out stores) is an innovative startup combined with the data challenges at amazon scale, best of both the worlds. The potential candidate will have scope to partner or work with Applied scientists, Research scientists and other principal leaders in the domain. Analytics provided by this team improves the day-to-day operations while paving way for longer term data platform solutions. All the solutions are built on AWS framework, this will be a great opportunity to learn and implement the new tools that are provided the leader in the cloud space.
• 2+ years of experience as a Data Engineer, BI Engineer, Business/Financial Analyst or Systems Analyst in a company with large, complex data sources.
• Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
• Demonstrated strength in data modeling, ETL development, and data warehousing
• Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy
• Experience providing technical leadership and mentoring other engineers for best practices on data engineering
• Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
• Mindset and analytical skills to towards continuous improvement and have an edge to always research on latest technologies
• Passion for building great notification experiences which directly impacts our customers
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