Data Engineer II — Audio Data & Insights

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

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.