Job
Description
Work with Consumer Banking Business Analysts team to understand existing SAS code logic written by techno-functional users Develop the SAS logic in DBS Big Data environment, using spark, scala and pyspark utilizing DBS Hadoop ecosystem of the inhouse Data Lake Perform unit testing and system integration testing Work closely with Business Analysts team to review the test results and obtain sign off Deploy the new code in the DBS Production environment Prepare necessary design/operations documentation for future usage Perform peers Code quality review and be gatekeeper for quality checks Required experience 5-8 years of application development experience in Spark, Spark SQL, Scala is a must Strong understanding and hands on experience of Big Data technologies like CDH, Hadoop/HDFS, S3, Colibra, Claudera Workbench, etc Technical proficiency on data mining techniques and performance optimization Adequate knowledge of database systems (RDBMS, MariaDB, SQL, NOSQL) Experience on SAS will be beneficial but not mandatory Handling of reporting packages (Tableau, QlikView) is nice to have AWS experience is nice to have Degree in Computer Science or Engineering is a must Good problem diagnosis and creative problem-solving skills Passion to learn and master diverse new technologies in the open-source community Accuracy and attention to detail Team-working, Verbal and Written communication skills Required Skills Verbal and Written communication skills, problem solving skills, AWS, Tableau, QlikView, SAS, RDBMS, MariaDB, SQL, NOSQL), CDH, Hadoop/HDFS, S3, Claudera Workbench,, Colibra, Spark, Spark SQL, Scala
