Data Engineer Job Vacancy in ZineOne Mumbai, Maharashtra – Updated today

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Full Details :
Company Name : ZineOne
Location : Mumbai, Maharashtra
Position :

Job Description : ZineOne is a real-time stream processing platform powered by machine learning to provide event-driven brand-to-user interactions. The platform enables brands to interact with every customer contextually across channels. Specifically for business users, it gives them the tools to engage their customers in every step of their journey with one-on-one interactions in real-time, without changing a line of code in their app.
Working with some of the top brands in the US, ZineOne currently enables more than 100 million users, processing over five billion events a year, and generating 100 gigabytes of data every hour worldwide. The Co. is based out of Milpitas, California, and has an India center in Mumbai.
What You Will Do

Design and implement data pipelines to process clickstream data for building online ML models. Implement, test and deploy scalable big data techniques to transform clickstream data into large-scale encoded and vectorized sequences
Own data preparation, quality analysis and feature engineering to implement data pipelines for development of various types of models
Collaborate with data scientists to train and evaluate new and existing models using RL, DL and GBMs. Improve automation and operations for model training, scoring and performance measurement using MLOps platform
Represent data engineering within the Data Science team to ensure ML models maintain high quality implementations that are repeatable, performant, efficient and measurable
Innovate to address new customer use cases in target or new industries, and contribute to expand our ML model portfolio

Qualifications

Bachelor’s Degree or higher in Computer Science, Data Science or similar area
3+ years of hands-on data engineering experience implementing data pipelines and machine learning ideally in Retail, QSR or Finance
Experience in software and data engineering for delivering large-scale and quality applications using Python, Jupyter and other data engineering tools
Strong knowledge of developing big data applications on Apache Spark and Hadoop/Hive ecosystem, distributed data processing, message queues
Have a proven track record of delivering robust, scale and quality data analytical applications in a cloud environment
Proficiency with software tools and libraries such as Python 3.x, Jupyter 6.x, Keras, Tensorflow, Amazon Personalizer, Rest APIs, Scala, JIRA, Excel and MS office
Comfortable working with a high performance, geographically distributed team with members in the US as well as overseas locations (India, Canada).
Possess excellent communication skills and cross-team collaboration skills to effectively share customer needs across sales, customer success, and engineering

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