Amazon Development Centre Canada ULC
Business Intelligence, Data Engineering, alexa and amazon devices
SeniorDataEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Engineer at Amazon Development Centre Canada ULC. Skills: Data Engineering, Data Pipelines, Data Infrastructure. Architect data pipelines. Develop data pipelines”
Industry & Context.
Answer questions with data; Drive business decisions; Drive product quality improvements
What They're Looking For.
Must Have
5+ years data engineering experience, Experience with data modeling, Experience with warehousing, Experience building ETL pipelines, Experience with SQL, Experience in scripting language, Experience mentoring team members
Nice to Have
Experience with Hadoop, Experience with Hive, Experience with Spark, Experience with EMR, Experience operating large data warehouses, Experience communicating with users, Experience communicating with technical teams, Experience communicating with management, Experience collecting requirements, Experience describing data modeling decisions, Experience describing data engineering strategy
What You'll Do.
Architect data pipelines
Develop data pipelines
Maintain data pipelines
Design data infrastructure
Implement data infrastructure
Build self-serve data platforms
Enable scientists to answer questions
Enable business stakeholders to answer questions
Implement reporting infrastructure
Support reporting infrastructure
Ensure compliance with data governance
Address data access restrictions
Maintain adherence to data protection policies
Maintain adherence to security standards
Implement data quality monitoring mechanisms
Ensure data consistency
Ensure reporting consistency
Drive operational excellence
Reduce manual intervention
Improve system reliability
Scale existing solutions
How You'll Work.
Team & Collaboration
Cross-functional team; Product and engineering stakeholders; Product and engineering teams
Communication Scope
Communicate complex ideas; Gather requirements; Translate business needs
Full Job 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. As a Data Engineer on this team, you will built data pipeline and analytics solutions for our internal customers to answer question with data, drive critical business decisions and product quality improvements for our customers. Our Data Engineers use best practices in software engineering, data management, data storage and compute. You will work on a cross-functional team with other data engineers and scientists, and drive changes that directly impact our customers. 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 stakeh
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