Data Engineer, Amazon Traffic Engineering

We are seeking a talented Data Engineer to join Amazon's Traffic Engineering organization in developing next-generation bot detection and mitigation capabilities. As a Data Engineer, you'll be at the forefront of revolutionizing how we understand and leverage Traffic data used in Bot detection and mitigation. This is a critical challenge at the intersection of ML and cybersecurity. Skills, with evidence

Airflow / orchestration As the bridge between raw data and meaningful insights, you'll work with a diverse array of technologies, including Python, EMR, Spark, and Airflow. must have Python Your expertise will solve crucial challenges in data processing and analytics. must have SQL 1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience. must have Spark You'll tackle complex problems like real-time data processing, ensuring data accuracy across multiple platforms, and creating scalable solutions that can handle exponential growth in data volume.



must have AWS Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions. must have · not practised here Streaming With GenAI/LLM-powered bots now capable of mimicking human behavior, evading traditional detections, and monetizing attacks, we must revolutionize our approach from reactive to real-time protection. - 1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience

Governance & security You'll be a key player in maintaining data governance and compliance, implementing sophisticated access controls, and ensuring data security through encryption and audit mechanisms. not practised here Machine learning This role offers the unique prospect to implement first-of-its-kind real-time behavior-based ML models that will safeguard Amazon's global infrastructure. not practised here

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📌 Data Engineer, Amazon Traffic Engineering Mid (Vancouver)
🏢 D8 LooP
📍 Vancouver