Data Engineer II - Alexa Audio AI Pipelines

Amazon; Vancouver; On-site; CAD 103,000 - 173,000; Full time

Job summary

Amazon Development Centre Canada ULC in Vancouver is seeking a Data Engineer for the Alexa Audio Data and Insights team. You will lead the development of data pipelines and automation to process massive datasets for next-generation Audio features powered by AI technologies, collaborating with product management, design, engineering, BI, and data science teams.

You will work on data architectures, ETL pipelines, and data quality checks to ensure high data accuracy while integrating advanced AI

Qualifications

• 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 services like Redshift, S3, Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions.

Responsibilities

• Work closely with data scientists, BI, and engineers to create robust data architectures and pipelines.
• Develop and manage scalable data pipelines to extract, transform, and 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, and usability of large and complex datasets through the development of data cubes and data sharing solutions.
• Develop and manage scalable, automated, and fault-tolerant data solutions using technologies such as Spark, EMR, Python, Redshift, Glue, and S3.

Skills

3+ years data engineering

SQL

Data modeling

ETL pipelines

Tools

AWS Redshift

AWS S3

AWS Glue

AWS EMR

AWS Kinesis

AWS Firehose

AWS Lambda

IAM roles

Job description

Amazon Development Centre Canada ULC in Vancouver is seeking a Data Engineer for the Alexa Audio Data and Insights team. You will lead the development of data pipelines and automation to process massive datasets for next-generation Audio features powered by AI technologies, collaborating with product management, design, engineering, BI, and data science teams.

You will work on data architectures, ETL pipelines, and data quality checks to ensure high data accuracy while integrating advanced AI