Aws Big Data Engineer Sql, Kafka, @ Aes Industrial

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,

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Rs 0 - 50K PM Rs 50K - 1 LPA Rs 1.0 - 1.5 LPA Rs 1.5 - 2.0 LPA Rs 2.0 - 2.5 LPA Rs 2.5 - 3.0 LPA Rs 3.0 - 3.5 LPA Rs 3.5 - 4.0 LPA Rs 4.0 - 4.5 LPA Rs 4.5 - 5.0 LPA Rs 5 - 6 LPA Rs 6 - 7 LPA Rs 7 - 8 LPA Rs 8 - 9 LPA Rs 9 - 10 LPA Rs 10 - 12 LPA Rs 12 - 14 LPA Rs 14 - 16 LPA Rs 16 - 18 LPA Rs 18 - 20 LPA Rs 20 - 22 LPA Rs 22 - 24 LPA Rs 24 - 26 LPA Rs 26 - 28 LPA Rs 28 - 30 LPA Rs 30 - 32 LPA Rs 32 - 34 LPA Rs 34 - 36 LPA Rs 36 - 38 LPA Rs 38 - 40 LPA Rs 40 - 42 LPA Rs 42 - 44 LPA Rs 44 - 46 LPA Rs 46 - 48 LPA Rs 48 - 50 LPA Rs 50 - 75 LPA Rs 75 Lakh - 1C PA Rs 1 Crore+ PA

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Keyskills:   AWS Spark SQL Big Data