UST
Website:
ust.com
Job details:
Role Description
UST is looking for a highly skilled Big Data Engineer with expertise in PySpark to join the innovative team with 5 to 7 years of experience. The ideal candidate will have a strong background in designing, implementing, and optimizing large-scale data processing solutions using various Big Data technologies, with a specific emphasis on PySpark. Responsibilities: Big Data Architecture:Design, develop, and maintain scalable and distributed data architectures for processing large volumes of data. Implement and optimize data storage solutions using technologies such as Hadoop, Spark, and PySpark. PySpark Development:Develop and implement ETL processes using PySpark for efficient data extraction, transformation, and loading. Optimize PySpark applications for performance and scalability. Qualifications: Proven experience as a Big Data Engineer with a strong focus on PySpark. Solid understanding of Big Data processing frameworks and technologies. Proficiency in PySpark for developing ETL processes and data transformations. Experience with distributed computing and parallel processing.
Skills
data engineering,python,hadoop,distributed computing,big data,etl,pyspark,
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