Data Engineer II, Alexa Audio

Socket.dev; Vancouver; On-site; CAD 103,000 - 173,000; Full time

Benefits offered by this job

Health insurance

RRSP

DPSP

Paid time off

Well-being resources

Job summary

Socket.dev in Vancouver is seeking a Data Engineer to lead big data initiatives for Alexa Audio Data and Insights. You will collaborate with data scientists, BI and engineers to build robust data architectures, scalable ETL pipelines, and data-driven solutions across Alexa+ datasets.

The role focuses on data quality, accessibility, and impactful analytics. The team covers BI, data science, and DS/BI management for music, radio, podcasts, books, news and generative audio.

Qualifications

• 3+ years of data engineering experience.
• Experience with data modeling, warehousing and building ETL pipelines.
• Experience with AWS technologies and non-relational databases is preferred.

Responsibilities

• Collaborate with data scientists, BI, and engineers to design robust data architectures.
• Develop and manage scalable ETL pipelines to extract, transform, and load data from multiple sources.
• Translate business requirements into data-driven solutions and dashboards.
• Automate data processing and reporting workflows to improve efficiency and data quality.
• Implement data quality checks and monitor data processing to maintain accuracy.
• Create data cubes and sharing solutions to improve accessibility and usability of large datasets.
• Build and manage scalable, fault-tolerant data solutions using Spark, EMR, Python, Redshift, Glue, and S3.

Skills

Data modeling

Data warehousing

ETL pipelines

Tools

AWS Redshift

AWS S3

AWS Glue

AWS EMR

AWS Kinesis

AWS Firehose

AWS Lambda

IAM roles and permissions

Non-relational databases

Job description

Join our Alexa Audio Data and Insights team as a Data Engineer, and 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, and together, you'll push the boundaries of what's possible with Alexa+.

Key job 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

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.

CAN, BC, Vancouver - 103,300.00 - 172,600.00 CAD annually

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)

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
• 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.