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Lead Consultant

Irving, TX, United States

Machine learning + Spark/Hive/SQL + Python, Scala, SQL PySpark, Kafka, use of scheduling tools, Devops using Jenkins

Key Responsibilities:

Develop and implement data pipelines and Client Pipelines to facilitate model inference (both Real-time and Batch).

nalyze large, complex data sets to identify the most performant way to process large volume data using Spark, Hive, and SQL

Collaborate with cross-functional teams to gather requirements and design scalable solutions

Work on deployment of machine learning models

Monitor the performance of data pipelines and make improvements as necessary

Stay up to date with the latest advances in big data processing

Productionalize time-series and regression real-time models

Qualifications: Bachelor's degree in Computer Science, Mathematics, or a related field

Strong experience in Spark/Hive/SQL, including hands-on experience building and deploying large volume data pipelines

Proficiency in Python, Scala, SQL PySpark, Kafka, use of scheduling tools, Devops using Jenkins.

Excellent problem-solving and critical thinking skills

Experience with cloud platforms (AWS, GCP, or Azure) is a plus

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