Data Engineer, Advertising & Marketing Performance Intelligence

Job description

from Amazon careers

The Advertising & Marketing Performance Intelligence (AMPI) team is seeking passionate and talented senior Data Engineer to join us. The team is on a mission to create cohesive, relevant, and truly helpful marketing experiences for every advertiser through automated processes and intelligence that enable scaled personalization.

Key job responsibilities
Data Pipeline Development: Build and maintain end-to-end automated data pipelines using AWS technologies, SQL, and various APIs. Deliver solutions that are secure, maintainable, and capable of handling large-scale data processing while ensuring data quality and integrity.

Architecture & Design Contribution: Contribute to the design of scalable big data architectures by making sound technical trade-offs within established BAA standards. Identify and flag deficiencies in existing systems and propose improvements in collaboration with senior engineers.

Monitoring & Operational Excellence: Build and maintain monitoring systems including automated alarms. Support data access control mechanisms and help ensure compliance with security standards while maintaining data availability and consistency.

Performance Optimization: Evaluate and optimize data designs for scalability, latency, and performance within your area of ownership. Identify bottlenecks and implement efficient solutions that improve data exploration and experimentation workflows.

Technical Collaboration: Follow and advocate for engineering best practices across the team. Participate in design reviews, contribute to technical discussions, and work closely with cross-functional partners to deliver on shared goals.

Business Partnership: Serve as a knowledgeable point of contact for data structure and usage within your domain.

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 non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
- Master's degree

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status.

CAN, ON, Toronto - 103,300.00 - 172,600.00 CAD annually