Sr Data Engineer, Physical Stores Real Estate

Seattle, Washington, United States
Full-time
Posted

Description

  • Bachelor's degree in computer science, engineering, mathematics, or a related technical discipline
  • 5+ years of industry experience in data engineering related field with a track record of manipulating, processing, and extracting value from large datasets
  • Knowledge of batch and streaming big data architectures
  • Experience with AWS technologies including Redshift, RDS, S3, EMR, EML or similar solutions built around Hive/Spark etc.
  • Experience using big data technologies (Hadoop, Hive, HBase, Spark etc.)
  • Demonstrated strength in data modeling, ETL development, and data warehousing
  • Knowledge of data management fundamentals and data storage principles
  • Knowledge of distributed systems as it pertains to data storage and computing
  • Proficiency in SQL
  • Proficiency in Python or other similar languages

Job summary
Do you want to solve business challenges through data and innovative technology? Do you enjoy working on cutting-edge cloud based big data technologies, designing data models to solve complex business problems, building advanced analytic solutions such as Geo-spatial and machine learning data pipelines in a fast-paced team environment? Do you love working on industry defining projects that move the needle?


At Amazon, we hire the best minds in technology to innovate & build things for the benefit of our customers. The intense focus we have on our customers is why we are one of the world’s most beloved brands – it is part of our company DNA. Our Data Engineers play an instrumental role in utilizing data and technologies to solve complex problems and get to see the impact of their work.



The Amazon Physical Stores team is looking for a Data Engineer to lead building of the next generation self-service data and analytic solutions. We are working to solve complex business problems by collecting data from numerous data assets across different dimensions, and building best-in-class Geo-spatial and machine learning modeling solutions. Our team is constantly inventing on behalf of customers and the ideal candidate will be customer obsessed.

A successful candidate will have a passion for innovation, interest in cutting-edge technology, and excitement about working in a high-impact domain.

The successful candidate will:
  • Collaborate with experienced cross-disciplinary Amazonians from the business, data science, and engineers to develop, design, and bring to market innovative big data solutions.
  • Innovate and build rich data assets using the AWS cloud big data and machine learning technologies for self-service and data science use cases.
  • Enrich data assets with spatial dimensions, new data acquisition and feature engineering in close collaboration with the business partners, economists and data science teams.
  • Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency
  • Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.

  • Masters in computer science, mathematics, statistics, economics, or other quantitative fields
  • Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
  • Excellent knowledge of Advanced SQL working with large data sets
  • Knowledge of Advanced Statistics and implementing ML models
  • Demonstrated ability to mentor junior team members in all aspects of their engineering skill-sets
  • Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions
  • Experience providing technical leadership and mentoring other engineers for best practices on data engineering
  • Experience communicating with senior management as well as with colleagues from engineering, analytics, and business backgrounds
  • Strong business acumen, proven ability to influence others, strong attention to detail, excellent organization skills, and ability to manage multiple projects

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.



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.

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