Data Engineer - Sustainable Packaging

Seattle, Washington, USA

Full Time
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Posted 1 month ago

Are you interested in delighting customers and are passionate about promoting sustainability? Then Amazon’s Packaging Team is the place for you. We are the Customer Packaging EXperience (CPEX) team within Amazon Robotics Technology organization and we optimize Amazon’s packaging solutions. To do this across billions of shipments, we need data infrastructure, tools, software solutions that support analytics, data science, and machine learning functionalities all of which come together in building packaging decision mechanisms across millions of products.

You'll be responsible for the design, implementation, operation, and support of large-scale, performance-critical data sources that are crucial to the successful operation of our CPEX team. You will work with tenured ML scientists, software developers, business intelligence engineers, and product managers on our team as well as remote data engineering resources. You will be tasked with optimizing, managing, and supporting existing data solutions and identifying and designing our next generation.

You should be an expert in the architecture of DW, ETL solutions using multiple technologies (RDBMS, AWS, and Big Data). You should excel in the design, creation, management, and business use of extremely large datasets. You should be able to write scripts (Python, UNIX, Java etc.) and automate processes. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. Above all you should be passionate about working with huge data sets and someone who loves to bring data sets together to answer business questions and drive change.

Basic Qualifications


· Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical discipline
· Experience in Data Engineering, BI Engineer, or related field
· Track record of data management fundamentals and data storage principles
· Hands-on experience and advanced knowledge of SQL, Python etc.
· Demonstrated strength in data modeling, ETL development, and data warehousing
· Knowledge of distributed systems as it pertains to data storage and computing

Preferred Qualifications

· 2+ years of experience as a Data Engineer, BI Engineer, 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
· Experience working with AWS big data technologies (EMR, Redshift, S3, Glue, Kinesis and Lambda)
· 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

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.


Job tags: AWS Big Data Business Intelligence Data Warehousing Distributed Systems Engineering ETL Java Machine Learning ML Python Redshift Robotics SQL