experience with analytic tools like R & Python; & visualization tools like Tableau & Power BI Exposure to cloud platforms and big data systems such as HadoopHDFS, and Hive is a plus Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes Graduate in Business more »
Google Cloud Platform. Experience in large-scale data platform builds and application migrations. Expert knowledge of Apache Hadoop ecosystem and associated Apache projects (eg, HDFS, Hive, HBase, Spark, Ranger, Kafka, Yarn etc.). Proficiency in Kubernetes for container orchestration. Strong understanding of security practices within big data environments. Ability to more »
understand data relationship. Work with Big Data technologies: You'll likely work with various Big Data technologies alongside Spark, including: HadoopDistributedFileSystem (HDFS) for storing large datasets Apache Kafka for Real Time data streaming Apache Hive for data warehousing on top of HDFS Cloud platforms like AWS, Azure … Scala Programming languages: Proficiency in Scala and Spark is essential. Familiarity with Python and SQL is often a plus. Big Data technologies: Understanding of HDFS, Kafka, Hive, and cloud platforms is valuable. Data engineering concepts: Knowledge of data warehousing, data pipelines, Datamodelling, and data cleansing techniques is crucial. Problem-solving more »
