Bigdata developer (Scala)

Cloud Kinetics is seeking a candidate with expertise in Bigdata, Hadoop, Hive SQLs, Spark, and other tools within the Bigdata Eco System. As a member of our team, you will be responsible for developing code, optimizing queries for performance, setting up environments, ensuring connectivity, and deploying code into production post-testing. Strong functional and technical knowledge is essential to fulfill project requirements, particularly in the context of Banking terminologies. Additionally, you may lead small to medium-sized projects and act as the primary contact for related tasks. Proficiency in DevOps and Agile Development Framework is crucial for this role. In addition to the core requirements, familiarity with Cloud computing, particularly AWS or Azure Cloud Services, is advantageous. The ideal candidate will possess strong problem-solving skills, adaptability to ambiguity, and a quick grasp of new and complex concepts. Experience in collaborating with teams within complex organizational structures is preferred. Knowledge of BI tools like MSTR and Tableau, as well as a solid understanding of object-oriented programming and HDFS concepts, will be beneficial. As a member of the team, your responsibilities will include working as a developer in Bigdata, Hadoop, or Data Warehousing Tools, and Cloud Computing. This entails working on Hadoop, Hive SQLs, Spark, and other tools within the Bigdata Eco System. Furthermore, you will create Scala/Spark jobs for data transformation and aggregation, develop unit tests for Spark transformations and helper methods, and design data processing pipelines to streamline operations. If you are a proactive individual with a strong technical background and a passion for leveraging cutting-edge technologies to drive innovation, we encourage you to apply for this exciting opportunity at Cloud Kinetics.,