Aws Big Data Engineer Sql, Kafka, @ UKG

Job Description

5 - 7 Years 2 Openings Mumbai 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 About UST UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the worlds best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients organizations. With over 30,000 employees in 30 countries, UST builds for boundless impacttouching billions of lives in the process.,

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Keyskills:   AWS Spark SQL Big Data