please send profiles to Upender@3ktechnologies.com
Datastage Developers
Minneapolis, MN
Duration: 6-12 months
Positions: 10
They are requiring 8+ years of experience, so please do not submit under
| § Data Warehouse, Data Modeling, Database design, architecture and development experience. § Data Stage, Oracle and Unix environment § Strong SQL query writing and data analytics skills. Ability to write and optimize stored procedures. § Healthcare Operation Experience - claim and enrollment data |
Responsibilities:
• Analyze source data/file structures, technical metadata, profile source data and develop data mapping and transformation rules and detail ETL specifications based on business requirements;
• Assist in the collection of technical metadata supporting the implementation;
• Utilize automation tools to schedule, execute, and monitor ETL jobs;
• Design, test, and debug data flow plans to populated databases;
• Design of the ETL application;
• Performance tune the application to meet operational production requirements;
• Develop and execute, in conjunction with the ETL Architect, Quality and Release, and Process Analyst system and integration test plans;
• Implement audit, balance and controls per business requirements;
• Design and code functions of the application in accordance with the ETL standards and architectural guidelines;
• Execute test plans and document results and discrepancies;
• Prepare applicable ETL application supporting documentation;
• Assist in researching and resolving data issues uncovered during development and testing;
Minimum Qualifications:
• Bachelor’s degree or equivalent experience and 5+ years experience within IT, including 3+ years with IBM’s DataStage tool
Preferred Qualifications:
• Working knowledge of data models, databases, and the overall data flow architecture in the data warehouse environment;
• Ability to dialogue clearly and effectively with business, IT stakeholders, testers, and developers to gain understanding and resolution;
• Ability to quickly work through opposing views and reach consensus and clarity of understanding;
• Team player motivation to deploy best approach to ETL development while achieving “win-win results;
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