high volume Java or Scala based data processing jobs using industry standard tools and frameworks in the Hadoop ecosystem, such as Spark, Kafka, Hive, Impala, Avro, Flume, Oozie, and Sqoop Design and maintain schemas in our analytics database. Excellent in writing efficient SQL for loading and querying data. Foresees more »
Spark SQL Statements. * Experience in working with large databases - multi terabytes (3+ Terabytes). * Minimum of 5 years' experience in Big Data Space (Hive, Impala, Spark Sql, HDFS etc). * Any cloud experience (AWS/Azure/Google/Oracle). * Solid experience with Oracle objects(Packages,Procedure,functions more »
Spark SQL Statements. * Experience in working with large databases - multi terabytes (3+ Terabytes). * Minimum of 5 years' experience in Big Data Space (Hive, Impala, Spark Sql, HDFS etc). * Any cloud experience (AWS/Azure/Google/Oracle). * Solid experience with Oracle objects(Packages,Procedure,functions more »
data design principles commonly used in Hadoop and a solid understanding of processing large datasets (including streaming data and unstructured data utilising HBase, Hive, Impala and Spark). You are experienced in modern engineering practices and technologies and Scrum/Kanban and SAFe delivery. You have a proven track more »
MethodologyExperience of Data Visualisation tools e.g. Power BI, Qlikview, TableauUnderstanding of data management, data architecture, data modelling and data governance.Big data tooling experience e.g. Impala, Hue, ClouderaProject management capabilityCase developmentUX and Design awarenessSalary and BenefitsThis role offers a competitive salary and bonus, plus a comprehensive benefits package and more »
