Job Description

• Design, develop, and maintain data pipelines and ETL processes using Cloudera Hadoop distribution, Teradata Inteliflex, and Oracle Informatica Data Integration suite of tools.
• Implement data visualization solutions using QlikSense Discovery and MS Power BI to provide insights into business data.
• Collaborate with business stakeholders and data scientists to understand data requirements and provide data engineering support.
• Develop and deploy machine learning models and predictive analytics solutions using Python, R, R Studio, and Kafka.
• Manage and optimize databases including AS400 DB2, Teradata, Oracle, SQL Server, and Postgres for performance and scalability.
• Ensure data quality and integrity through data validation and cleansing processes.
• Implement and maintain data security measures to protect sensitive information.
• Monitor data processes and performance metrics using monitoring tools such as Jenkins, Bit Bucket, SonarCube, and QLIK sense.

• Bachelor\'s degree in Computer Science, Data Science, Information Technology, or related field.
• 3-5 years of experience in data engineering or a related role.
• Proficiency in Cloudera Hadoop distribution (6.X), Teradata Inteliflex, Oracle Informatica Data Integration suite of tools, QlikSense Discovery, MS Power BI, Python, R, R Studio, and Kafka.
• Experience with server/database management, languages such as AS400, Teradata, JIRA, Oracle SQL Developer, Informatica, Cloudera Data Science Workbench, Spark, HUE, Hive, Impala, Microsoft R, SAS, Jenkins, Bit Bucket, SonarCube, QLIK sense, Microsoft Power BI, Business Objects, PUTTY, Aldon, and control-M.
• Strong analytical and problem-solving skills with a keen attention to detail.
• Experience with at least one of the mentioned 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.

Equal Employment Opportunity StatementAll employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.Accenture is committed to providing veteran employment opportunities to our service men and women.

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