Experience working on OracleSAPBig DataETL assignments; Experience building, debugging and optimizing complex distributed systems or backend services; Knowledge of big data architecture, including Hadoop; Knowledge of Scala and Python in Spark or other big data framework; Experience using Apache Kafka in production; Experience managing a team of Data Engineers; Experience in data modelling using tools Visio, Erwin, Data Modeler to draw IT architecture design, ER modeling of OLTP and dimension modeling of OLAP, DB modeling of big data environment; Experience in Performance tuning and Hive Query optimization Cloud deployment; Experience with handson Database Migration, PLSQL, Shell Scripting, performance tuning, SAP Hana migration; Experience using reporting tools such as Tableau, Crystal Reports, Oracle Reports; Experience with multithreading of PLSQL using different techniques, ClassificationRegression Algorithms; Experience in version management tools such as Tortoise Git, SVN, Subversion, VSS; Experience working in multiple Domains such as Core banking, Financial Banking, Media, Insurance, Retail, Sales; Experience with all phases of the development lifecycle and processes such as Waterfall, Iterative, Agile; Experiencebr communicating complex technical concepts to nontechnical stakeholders.br br Any suitable combination of education, training, or experience is acceptable. The years of experience listed in H.6A and H.10A do not apply to the required skills listed in this section. The employer will accept any level of experience, knowledge, or proficiency in the specific skills listed in this section.
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