Senior Data Automation Engineer - Prime Marketing

Amazon.Com, Inc. Seattle , WA 98113

Posted 2 months ago

Role is Seattle Based or Remote

At Amazon, we are working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright and driven people. Are you excited to help us learn more about how our customers shop and how satisfied they are when using our services? We are looking for passionate Senior Data Engineer to join our Global Cross Channel and Cross Category (XCM) Insights team to focus on owning and optimizing the advanced data pipelines, automating the data intake and data extraction process, and developing innovative data solutions.

This role requires an individual with excellent data pipeline automation, database architecture, data modelling, and software development skills. A successful candidate will have the ability to work with technology, research, marketing, finance and business teams. They will have passion for data and analytics, be a self-starter comfortable with ambiguity, with strong attention to detail, ability to work in a fast-paced and entrepreneurial environment and driven by a desire to innovate on behalf of our customers. We are looking for people who are motivated by thinking big, moving fast, and changing the way customers use data to drive profitability. If you love to implement solutions to hard problems while working hard, having fun, and making history, this may be the opportunity for you!

Key Responsibilities:

  • Architect and develop end to end scalable data applications and data pipelines

  • Automate the data intake, data quality check, data extraction and data reporting process

  • Develop ETL pipeline that links various datasets that could serve the analysis objectives in the most efficient way

  • Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data volume using AWS.

  • Develop complex SQL queries and scripts for business logic implementation

  • Participate in data strategy and road map exercises, data warehouse design and implementation

  • Bachelor's degree in computer science, engineering, statistics, information science or a related field

  • At least 7+ years of working experience with automation process of data intake, extraction and data cleaning, data pipelines, ETL processes and SQL in a business environment with large-scale, complex datasets

  • 5+ years of experience as a software developer or related technical field with fluency in at least one of the programming languages such as Python, Scala, or Java

  • Experience with AWS Big Data technologies (e.g. RedShift, S3, Glue, SageMaker, etc.) and AWS cloud infrastructure

  • Ability to deliver on ambiguous automation projects with incomplete and/or dirty data

  • Masters in computer science, statistics, engineering or other quantitative fields

  • Experience with end-to-end data pipeline automation process, including data input, data quality validation, data extraction and data reporting

  • Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy

  • Experience working with disparate data sources to develop complex database architecture and data models

  • Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes and testing

  • Knowledge of data management fundamentals and data storage principles

  • Knowledge of distributed systems as it pertains to data storage and computing

  • Excellent verbal and written communication skills and technical writing skills

  • Experience developing cloud software services and an understanding of design for scalability, performance, privacy, security and reliability

  • Experience gathering requirements and providing technical solutions

  • 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.

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Senior Data Automation Engineer - Prime Marketing

Amazon.Com, Inc.