Lead Data Engineer

3 - 7 years

0 Lacs

Posted:11 hours ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

Role Overview: As a Big Data Engineer, your primary responsibility will be to design, develop, and maintain scalable and distributed data architectures capable of processing large volumes of data. You will work on implementing and optimizing data storage solutions using technologies such as Hadoop, Spark, and PySpark. Your role will also involve developing and implementing efficient ETL processes using PySpark to extract, transform, and load large datasets. Additionally, you will be tasked with optimizing PySpark applications for better performance, scalability, and resource management. Key Responsibilities: - Design, develop, and maintain scalable and distributed data architectures for processing large volumes of data. - Implement and optimize data storage solutions using technologies like Hadoop, Spark, and PySpark. - Develop and implement efficient ETL processes using PySpark for data extraction, transformation, and loading. - Optimize PySpark applications to enhance 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 effectively in a fast-paced, innovative environment. (Note: The Skills section is omitted as it is not explicitly mentioned in the provided Job Description),

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