Job Title

Data Engineer, WW Promotions Data and Insights Join to apply for the Data Engineer, WW Promotions Data and Insights role at Amazon Are you passionate about developing the next generation of data infrastructure capable of handling complex, missioncritical data pipelines and analytics workloads? Do you want to build next generation data engineering solutions that leverage the latest AWS technologies to process a broad range of business and customer data? Key job responsibilities Design, build, and operate highly scalable, faulttolerant data processing systems using modern AWS services like Redshift, S3, Glue, EMR, Kinesis, and Lambda, and orchestration systems using Airflow Leverage your expertise in Python, Scala, or other modern programming languages to develop custom data processing frameworks and automation tools Collaborate closely with data scientists, analysts, and product managers to understand business requirements and translate them into technical solutions Continuously optimize data pipeline performance, reliability, and costefficiency using best practices in CI/CD and infrastructureascode Mentor junior engineers and share your knowledge of data engineering best practices Stay uptodate with the latest big data technologies and architectural patterns, and drive the adoption of innovative solutions A day in the life You Will Identify key areas of concerns/limitations with current architecture and build next generation frameworks and systems that enable data teams to deliver on future needs Build automated data quality monitoring, audit and reconciliation mechanisms Develop and maintain core infrastructure and services for multiple data engineering teams Improve efficiency of operations in terms of cost, effort and reliability About The Team Promotions reinforce a positive perception of Amazons price leadership with shoppers by complementing our everyday great prices with timebound discounts on a broad selection of highquality products. For Selling Partners (SPs), promotions create incremental demand for their products and increase their share of voice, clear inventory, and drive traffic to new selection. WW Promotions owns the sourcing and execution of promotions at Amazon and we are their data & analytics team. We serve as the central stewards of promotions data, delivering trusted and governed datasets that power product development, machine learning models, and business analytics across the organization. Basic Qualifications 3+ years of data engineering experience Experience with data modeling, warehousing and building ETL pipelines Preferred Qualifications Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions Experience with nonrelational databases / data stores (object storage, document or keyvalue stores, graph databases, columnfamily databases) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region youre applying in isnt listed, please contact your Recruiting Partner. The base salary for this position ranges from $103,300/year up to $172,600/year. Salary is based on a number of factors and may vary depending on jobrelated knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, signon payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Applicants should apply via our internal or external career site. Company - Amazon Development Centre Canada ULC Job ID: A3152794 Seniority level Not Applicable Employment type Fulltime Job function Information Technology Industries Software Development Referrals increase your chances of interviewing at Amazon by 2x #J-18808-Ljbffr