Data Engineer, Alexa Audio

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

Job summary

A leading technology company is seeking an experienced Data Engineer to join their Alexa Audio Data and Insights team. In this role, you'll be responsible for creating scalable data architectures and pipelines, working closely with data scientists and engineers. Ideal candidates will have a strong background in data modeling, experience with AWS technologies, and proficiency in SQL. The base salary for this position ranges from $103,300 to $172,600 per year, making it a competitive opportunity in the market. Applicants should apply via the company's career site.

Qualifications

• 3+ years of data engineering experience.
• Experience with data modeling, warehousing, and building ETL pipelines.
• Experience with SQL.
• Experience with AWS technologies like Redshift and S3.

Responsibilities

• Create robust data architectures and pipelines.
• Develop and manage scalable data pipelines.
• Collaborate with stakeholders for data-driven solutions.
• Automate data processing and reporting workflows.

Skills

data engineering experience

data modeling

SQL

AWS technologies

non-relational databases

Tools

Redshift

S3

AWS Glue

Spark

Python

Job description

Overview

Are you ready to be at the forefront of Agentic AI innovation and redefine the future of communication? 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

AUDI consists of Business Intelligence Engineers (BIEs), Data Engineers (DEs), Data Scientists (DS’s) and DS/BI Mangers, who bring with deep experience in both business analytics and data science. We cover the data needs of Music, Radio, Podcast, Books, Audio News and Ambient Sounds.

AUDI supports analytical best practices across the Audio org as we drive a metric-first mindset, measure the right success metrics, and support the launch of Remarkable Alexa and Banyan. We strive to extract and store accurate data to deliver actionable insights, inform business investment decisions, support growth of customer base and drive the success of Banyan experience. Our data products and analytical programs accelerates efforts in delivering premium and delightful experiences for Audio customers.

Qualifications

• 3+ years of data engineering experience
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with SQL
• 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 for this position ranges from $103,300/year up to $172,600/year. Salary is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Applicants should apply via our internal or external career site.