Develop and maintain data management processes and solutions using Cloudera Hadoop distribution, Teradata Inteliflex, and Oracle Informatica Data Integration suite of tools.
Design and implement data visualization dashboards and reports using QlikSense Discovery and MS Power BI.
Utilize programming languages such as Python, R Studio, and Kafka for data analysis and processing tasks.
Work with various server and database platforms including AS400 DB2, Teradata, Oracle, SQL Server, and Postgres.
Collaborate with cross-functional teams to gather requirements and design solutions for Finance Analytics, Credit Risk Analytics, Credit Scoring & Decision Support Systems, and other domains.
Conduct data modeling and data mart development using FSLDM and other relevant methodologies.
Bachelor\'s degree in Computer Science, Data Science, Information Technology, or related field.
3-5 years of experience in data management and analytics.
Proficiency in Cloudera Hadoop distribution 6.X, Teradata Inteliflex, Oracle Informatica Data Integration suite of tools, QlikSense Discovery, MS Power BI, Python, R Studio, and Kafka.
Experience with server/database management and languages including AS400, Teradata, JIRA, Oracle SQL Developer, Informatica, Cloudera Data Science Workbench, Spark, HUE, Hive, Impala, Microsoft R, SAS, Jenkins, Bit Bucket, SonarCube, QLIK sense, Query Surge, Power BI, Business Objects, PUTTY, Aldon, and control-M.
Strong analytical skills and problem-solving abilities.
Experience in at least one of the domains including Finance Analytics, Credit Risk Analytics, Credit Scoring & Decision Support Systems, Treasury & Wealth Management (Murex), Trade Finance & Accounts Receivable Management (FITAS, ARF), Retail Bank, Cards (Silver Lake), and Data Modeling (FSLDM/Data Marts).
Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams, preferably within a banking environment.
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