Amazon Development Centre Canada ULC

Business Intelligence, Data Engineering, alexa and amazon devices

SeniorDataEngineer

CA$136–227k Vancouver, British Columbia, Canada FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Data Engineer at Amazon Development Centre Canada ULC. Skills: Data Engineering, Data Pipelines, Data Infrastructure. Architect data pipelines. Develop data pipelines”

Industry & Context.

Business Intelligence, Data Engineering, alexa and amazon devices
Problems you'll solve

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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