Amazon Development Centre Canada ULC
Software Development, Data Engineering, Advertising
DataEngineer,Advertising&MarketingPerformanceIntelligence
Neural analysis suggests this role is
optimal for Senior candidates.
“Data Engineer, Advertising & Marketing Performance Intelligence at Amazon Development Centre Canada ULC. Skills: Data engineering, Data pipelines, AWS technologies. Build automated data pipelines. Maintain automated data pipelines”
Industry & Context.
Identify bottlenecks; Implement efficient solutions
What They're Looking For.
Must Have
3+ years data engineering experience, Data modeling experience, Warehousing experience, ETL pipelines building experience
Nice to Have
AWS technologies experience, Non-relational databases experience, Object storage experience, Document stores experience, Key-value stores experience, Graph databases experience, Column-family databases experience
What You'll Do.
Build automated data pipelines
Maintain automated data pipelines
Deliver secure solutions
Deliver maintainable solutions
Handle large-scale data processing
Ensure data integrity
Contribute to design of architectures
Identify deficiencies in systems
Propose improvements to systems
Build monitoring systems
Maintain monitoring systems
Support data access control
Ensure compliance with security standards
Maintain data availability
Maintain data consistency
Evaluate data designs
Optimize data designs
Implement efficient solutions
Follow engineering best practices
Advocate engineering best practices
Participate in design reviews
Contribute to technical discussions
Work with cross-functional partners
How You'll Work.
Team & Collaboration
Cross-functional partners
Full Job Description
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, Fir
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