Senior Data Engineer
November 7
Description
• Improving existing data infrastructures for machine learning and deep learning. • Collaborating with other engineers to implement algorithms and systems efficiently. • Taking ownership of Machine Learning-based distributed data systems. • Developing complex queries and data pipelines. • Interacting with data analysts, data scientists, product managers, and software engineers to understand business problems. • Prototyping new metrics or data systems. • Leading data investigations to troubleshoot data issues. • Maintaining and improving released systems. • Providing engineering consulting on large and complex warehouse data.
Requirements
• BS with 7+ years of relevant Industry experience/M.S. in Computer Science with 5+ years of relevant Industry experience. • Computer Science graduate ideally with specialization in Data Engineering or Machine Learning • Strong fundamentals: algorithms, distributed computing, data structure, database • Fluency with at least one of: Go/Java/Python/C++/Scala/SQL • 5+ years of industry experience on very large scale analytics or ML systems development • 2+ years of experience with Google Cloud Platform (BigQuery, Dataproc, Composer, Dataflow, BigTable, etc.) • 2+ years of experience in Hadoop technologies (Map/Reduce, Pig, Hive, HBase, Spark, Kafka, Oozie, etc.) • Experience in data modeling, schema design, ETL, and data analysis • Nice to have: Experience with machine learning algorithms, NLP, and/or statistical methods a big plus • Experience in any of: machine learning, analytics, data mining, or data mart and warehouse • Experience with Deep Learning platforms (Tensorflow/Keras/Spark MLlib)
Benefits
• Healthcare • 401K savings plan • Company holidays • Vacation • Sick time • Parental leave • Employee assistance program
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