Senior Data Engineer, Alexa Daily Essentials Analytics

About

The Alexa Daily Essentials team delivers experiences critical to how customers interact with Alexa as part of daily life. Alexa users engage with our products across experiences connected to Timers, Alarms, Calendars, Food, and News. Our experiences include critical time saving techniques, ad-supported news audio and video, and in-depth kitchen guidance aimed at serving the needs of the family from sunset to sundown.

Role Summary

As a Sr Data Engineer on our team, you will be responsible for designing and implementing an analytical environment using third-party and in-house tools. You will work on complex data models, build reports and dashboards. To succeed in this role you should have deep expertise in the design, creation, management, and business use of large datasets, across a variety of data platforms.

Our managers and leadership care about your personal goals. We value open communication, whether its in regards to what you need to accomplish for your career goals or what we as an organization can improve to better support our teammates and provide the best possible work environment. If you think this position aligns with you then we’d love to hear from you.

Key Job Responsibilities

Problem‑Solving

• Work with the product and development teams within Alexa org to understand the product vision and requirements.
• Work with Product Managers, BI engineers and Software Engineers to design, implement and support high quality data products.
• Partner with other teams across Alexa to ingest relevant datasets into the Alexa Devices BI data‑warehouse.
• Collaborate with other data engineers within the team to build a data platform that is self‑service and possesses key capabilities like data discovery, data lineage, proactive data monitoring and security/compliance monitoring.
• Leverage and manage AWS services like Bedrock, Sagemaker, S3, Redshift, Athena, Kinesis, Lambda, Data Lake etc..
• Conduct workshops and lunch‑n‑learn sessions to educate customers on product capabilities.

Data Infrastructure

• Build data pipelines, and identify novel data sources to leverage in analytical work – both from within Alexa and from cross Amazon.
• Acquire data by building the necessary SQL / ETL queries.

Communication

• Excel at communicating complex ideas to technical and non‑technical audiences.
• Build relationships with stakeholders and counterparts. Work with stakeholders to translate causal insights into actionable recommendations.
• Force multiply the work of the team with data visualizations, presentations, and/or dashboards to drive awareness and adoption of data assets and product insights.
• Collaborate with cross‑functional teams. Mentor teammates to foster a culture of continuous learning and development.

Basic Qualifications

• 5+ years of data engineering experience
• 3+ years of data engineering, database engineering, business intelligence or business analytics experience
• Experience building data products incrementally and integrating and managing data sets from multiple sources
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with SQL

Preferred Qualifications

• Knowledge of data mining techniques, predictive analytics, and statistical modeling
• Experience with MPP databases such as Amazon Redshift
• Experience communicating with users, other technical teams, and management to collect requirements, describe data modeling decisions and data engineering strategy

Additional Information

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, and 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.

Location: CAN, BC, Vancouver – 135,700.00 – 226,500.00 CAD annually