Experience must have included Leading and managing data engineers and assisting the team with frequent design and code reviews; Architecting various dataintensive platforms including MLbased Text classifier; Building microservices and products by collaborating with various crossfunctional teams; Developing and maintaining high throughput ETL systems; Performing Data Analysis using R, Tableau, and Python Notebook; Use of Spring, Java, AWS Redshift, and MySQL; Creating a fast Named Entity Recognition software; Transitioning legacy MySQLdatabase to MongoDB replica set; Developing and implementing big data pipelines using MapReduce technologies including AWS EMR, Apache Spark, and scheduling these data pipelines to run in frequency in terms of hourly and daily; Developing and maintaining high throughput ETL Extract Transform Load systems and implementing and improving machine learning algorithms; Applying engineering guidelines, debugging and maintaining code quality and security; Serving as technical subject matter expert; Researching and adopting new technologies and opensource implementations; Use of Java; and Implementing and improving various Machine Learning algorithms.
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