| Data Engineer at San Francisco, California, USA |
| Email: [email protected] |
|
From: Kartik, tek inspiration [email protected] Reply to: [email protected] Job Description - Title: Data Engineer(W2) Location: San Francisco, CA (hybrid)., need local Duration: 9+ mo. or longer Moi: Video must linkidn Focus on SQL Knowledge and workflow management (airflow tool) and Machine Learning Knowledge specifically feature. Understanding data inputs into the model and feature analysis. Feature Engineering. Training data set composition. Experience with Pyspark to perform data transformations, feature engineering, data analysis, and ML training data generation. This role supports the feature generation, data workflows, and maintenance of the RealTIME personalization models for the Campaigns fleet. Culture / Dress Code: Business Casual Top 3 skills sets needed: Python, Data Engineering, ETL EXTERNAL JOB DESCRIPTION: Department Overview: Applied Machine Learning Engineers, Data Engineers, and Data Scientists on the Disney Streaming Machine Learning and Innovation team develop and maintain recommendation and personalization algorithms for Streamings suite of streaming video apps. As a member of this team you will collaborate across Engineering, Product, and Data teams to apply machine learning methods to meet strategic product personalization goals, explore innovative, cutting edge techniques that can be applied to recommendations, and constantly seek ways to optimize operational processes. Our team is A group of engineers and data scientists with diverse expertise delivering solutions together. Collaborative and dynamic. Embracing agile practices. Using continuous integration/automated testing. Led by startup veterans. Basic Qualifications Required Qualifications: 2+ years of data engineering experience Deep knowledge of the Python data ecosystem Great coding and problem-solving skills Experience in building large datasets and scalable services Experience deploying and running services in AWS and in engineering big-data solutions using technologies like Databricks, EMR, S3, Spark, and Docker Experience with Pyspark to perform data transformations, feature engineering, data analysis, and ML training data generation Excellent communication and people engagement skills Keywords: machine learning sthree wtwo California Missouri Data Engineer [email protected] |
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| 05:26 AM 06-Mar-25 |