Source description
About the role
Responsibilities
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Design and implement highly efficient Spark applications in Java, focusing on performance optimization, including tuning Spark jobs, optimizing transformation, and leveraging advanced Spark features for batch and real-time processing.
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Responsible for developing data pipelines using Apache Spark (Big Data Processing )
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Responsible for analyzing performance concerns and issues. Identifying the bottlenecks that require changes to improve performance.
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Utilize in-depth knowledge of functional and technical expertise in Java/J2EE Micro-services (Spring Boot) and Big Data in delivering solutions.
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Responsible for configuring the applications for DevOps using Jenkins and GIT and build pipeline using Jenkins.
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Deploy the applications to the cloud environment using various cloud services and maintaining the application in Open Shift and AWS
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Responsible for developing Staging Layer using Delta Lake for the Ingestion Framework.
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Implement and manage data publishing and consumption using Kafka.
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Implement solutions to transform and serialize datasets into JSON messages using Spark SQL
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Understanding of RESTful web services and API development .
Skills
- Technologies & Skills: Java, Apache Spark, Delta Lake, Spark SQL, MySQL, Kafka, drools, Spring Boot, REST APIs, Maven, Jenkins, Docker, Kubernetes
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