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Senior Data Engineer, ADE Science
Senior Data Engineer, ADE ScienceAmazon • Vancouver, Metro Vancouver Regional District, CA
Senior Data Engineer, ADE Science

Senior Data Engineer, ADE Science

Amazon • Vancouver, Metro Vancouver Regional District, CA
30+ days ago
Job type
  • Full-time
Job description

Senior Data Engineer, ADE Science

Amazon

Description

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.

Key Job Responsibilities

Data Infrastructure

  • Architect and develop robust data pipelines that ingest and transform data for business intelligence analytics.
  • Maintain data pipelines using scripting languages such as Python, Spark, SQL and AWS services such as S3, Glue, Lambda, SNS, SQS, KMS.
  • Design and implement scalable data infrastructure supporting Redshift clusters and visualization dashboards that serve product stakeholders.
  • Build self‑serve data platforms to enable scientists and business stakeholders to answer business questions with data. Implement and support reporting and analytics infrastructure for internal customers.
  • Ensure compliance with data governance. Address data access restrictions while maintaining adherence to data protection policies and security standards.
  • Implement data quality monitoring mechanisms with alerting for pipeline failures or anomalies. Ensure data and reporting consistency across the organization.

Communication

  • Excel at communicating complex ideas to technical and non‑technical audiences.
  • Build relationships with product and engineering stakeholders and counterparts.
  • Work with stakeholders to gather requirements, and translate business needs into data engineering solutions.
  • Work cross‑functionally across product and engineering teams to drive adoption of data assets.
  • Operations

  • Drive automation and operational excellence in data infrastructure. Reduce manual intervention and improve system reliability.
  • Scale existing solutions. Create new solutions as required based on team and stakeholder needs.
  • Basic Qualifications

  • 5+ years of data engineering experience.
  • Experience with data modeling, warehousing and building ETL pipelines.
  • Experience with SQL.
  • Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS.
  • Experience mentoring team members on best practices.
  • Experience building data products incrementally and integrating and managing data sets from multiple sources.
  • Preferred Qualifications

  • Experience with big data technologies such as Hadoop, Hive, Spark, EMR.
  • Experience operating large data warehouses.
  • Experience communicating with users, other technical teams, and management to collect requirements, describe data modeling decisions and data engineering strategy.
  • Equal Opportunity Statement

    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.

    Compensation

    The base salary for this position ranges from $135,700 / year up to $226,500 / 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.

    Location

    Vancouver, British Columbia, Canada

    Seniority Level

    Mid‑Senior level

    Employment Type

    Full‑time

    Job Function

    Strategy / Planning, Analyst, and Information Technology; Software Development

    Company

    Amazon Canada Fulfillment Services, ULC

    Job ID

    A3137594

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