Data Engineer II, Alexa Audio
Amazon Development Centre Canada ULC•5h ago
CanadaOnsiteCA$103.3K–CA$172.6KFull-timeMid Level2+ yrs exp
Top focus
Data EngineerVp DataData Warehouse Engineer
- Join our Alexa Audio Data and Insights team as a Data Engineer
- lead futuristic big data initiatives that will shape the next generation of intelligent, conversational experiences. In this role, you'll work at the intersection of disruptive AI technologies and real-world impact, making a difference for millions of customers. You'll collaborate with a team of passionate professionals who are as excited about innovation as you are
- together, you'll push the boundaries of what's possible with Alexa+. As a Data Engineer, you'll drive the development of data pipelines and automation to process massive datasets for our next-generation Audio features powered by advanced AI technologies. You'll work closely with cross-functional teams, including product management, design, engineering, Business Intelligence
- data science. You'll also lead the integration of these advanced AI systems into Alexa Audio's core capabilities, ensuring a seamless and intuitive customer experience. Key job responsibilities Key job responsibilities - Work closely with data scientists, BI
- engineers to create robust data architectures and pipelines - Develop and manage scalable data pipelines to extract, transform
- load data from various sources - Collaborate with stakeholders to understand business requirements and translate them into data-driven solutions - Automate data processing and reporting workflows to improve efficiency and data integrity - Implement data quality checks and monitor processes to maintain high data accuracy - Simplify and enhance the accessibility, clarity
- usability of large and complex datasets through the development of data cubes and data sharing solutions - Develop and manage scalable, automated
- fault-tolerant data solutions using technologies such as Spark, EMR, Python, Redshift, Glue
- S3 About the team Our team consists of Business Intelligence Engineers (BIEs), Data Engineers (DEs), Data Scientists (DS’s) and DS/BI Managers, who bring deep experience in both business analytics and data science. We cover the data needs of Music, Radio, Podcasts, Books, News and Generative audio.
- 3+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - 3+ years of SQL (Structured Query Language) experience
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda
- IAM roles and permissions - Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability
- 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
- 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
- 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, BC, Vancouver - 103,300.00 - 172,600.00 CAD annually
Required skills
PythonSparkAWSS3