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Lead Data Engineer - Big Data & PySpark @ Omnipotent Industries

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 Lead Data Engineer - Big Data & PySpark

Job Description

    Role Description Key Responsibilities: Big Data Architecture: Design, develop, and maintain scalable and distributed data architectures capable of processing large volumes of data. Data Storage Solutions: Implement and optimize data storage solutions using technologies such as Hadoop, Spark, and PySpark. PySpark Development: Develop and implement efficient ETL processes using PySpark to extract, transform, and load large datasets. Performance Optimization: Optimize PySpark applications for better performance, scalability, and resource management. Qualifications Proven experience as a Big Data Engineer with a strong focus on PySpark. Deep understanding of Big Data processing frameworks and technologies. Strong proficiency in PySpark for developing and optimizing ETL processes and data transformations. Experience with distributed computing and parallel processing. Ability to collaborate in a fast-paced, innovative environment. Skills Big Data, Pyspark,

Employement Category:

Employement Type: Full time
Industry: IT Services & Consulting
Role Category: Not Specified
Functional Area: Not Specified
Role/Responsibilies: Lead Data Engineer - Big Data & PySpark

Contact Details:

Company: UST
Location(s): Kerala,

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Keyskills:   Big Data

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Omnipotent Industries

Company DetailsOmnipotent Industries Ltd.