Data Engineer, Amazon Prime Mid in Vancouver

Data Engineer, Amazon Prime Mid in Vancouver

Vancouver Full-Time On-site
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Amazon Prime's Member Experience organization leads Research & Development for Amazon Prime. The program serves over 300 million members across 25 countries and is key to Amazon's customer growth and engagement. We build algorithms and systems for automated marketing, personalization, targeting, and decisioning using Artificial Intelligence and Economics. Skills, with evidence

Spark Advance data engineering infrastructure using tools such as AWS Glue, Spark, Amazon EMR, and EMR Serverless to support science and analytics workloads must have Warehousing Experience with data modeling, warehousing and building ETL pipelines must have AWS Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions must have Β· not practised here Streaming You will work with AWS technologies such as Amazon EMR, Amazon S3, AWS Glue, AWS Lambda, and Amazon DynamoDB to process terabyte-scale data and support real-time access and orchestration across multiple systems. Machine learning Build and maintain big data pipelines for machine learning applications at Amazon scale, ensuring stability and performance across terabyte-sized datasets not practised here Airflow / orchestration You will work with AWS technologies such as Amazon EMR, Amazon S3, AWS Glue, AWS Lambda, and Amazon DynamoDB to process terabyte-scale data and support real-time access and orchestration across multiple systems. SQL - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions Design and implement proactive data quality monitoring and alerting (e.g., anomaly detection) across production pipelines to safeguard downstream models Design and implement proactive data quality monitoring and alerting (e.g., anomaly detection) across production pipelines to safeguard downstream models

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Data Engineer, Amazon Prime Mid in Vancouver employer: D8 LooP

Joining Amazon's Traffic Engineering team as a Data Engineer means becoming part of a dynamic and innovative work culture that prioritizes cutting-edge technology and employee growth. With access to advanced tools and resources, you'll have the opportunity to tackle complex challenges in data processing while collaborating with talented professionals in a supportive environment. Located in a vibrant tech hub, Amazon offers competitive benefits and a commitment to fostering your career development, making it an exceptional place for meaningful and rewarding employment.

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Contact Details:

D8 LooP Recruitment Team