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Aws Big Data Engineer Sql, Kafka, @ Aes Industrial

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 Aws Big Data Engineer Sql, Kafka,

Job Description

    Role Description Required Skills & Qualifications: 5+ years of experience in Big Data Engineering, with a proven track record of delivering high-performance data solutions. In-depth expertise in AWS services, including DMS, Kinesis, Athena, Glue, Lambda, S3, and EMR. Hands-on experience with Spark optimizations to enhance performance and streamline data processing workflows. Strong proficiency in SQL and Oracle query tuning to ensure high-performance data retrieval and processing. Solid experience working with Big Data frameworks, including Hadoop, Spark, Hive, Presto, and Athena. Good understanding of Kafka/Debezium for data streaming, ensuring reliable and real-time data synchronization. Exposure to CI/CD automation and AWS DevOps tools for efficient deployment pipelines and operational workflows. Excellent problem-solving and troubleshooting skills, with a focus on identifying issues and implementing solutions quickly and effectively. Skills AWS, Spark, SQL, Big Data,

Employement Category:

Employement Type: Full time
Industry: IT Services & Consulting
Role Category: Not Specified
Functional Area: Not Specified
Role/Responsibilies: Aws Big Data Engineer Sql, Kafka, And

Contact Details:

Company: UST
Location(s): Other Maharashtra

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Keyskills:   AWS Spark SQL Big Data

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Aes Industrial

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