Data Engineer-Business Intelligence

Introduction In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your Role And Responsibilities Provide expertise in analysis, requirements gathering, design, coordination, customization, testing and support of reports, in client?s environment Develop and maintain a strong working relationship with business and technical members of the team Relentless focus on quality and continuous improvement Perform root cause analysis of reports issues Development / evolutionary maintenance of the environment, performance, capability and availability. Assisting in defining technical requirements and developing solutions Effective content and source-code management, troubleshooting and debugging Preferred Education Master's Degree Required Technical And Professional Expertise Cognos Developer & Admin Required. Education: The resource should be full time MCA/M. Tech/B. Tech/B.E. and should preferably have relevant certifications Experience: The resource should have a minimum of 3 years of experience of working in the in BI DW projects in areas pertaining to reporting and visualization using cognos. The resources shall have worked in at least two projects where they were involved in developing reporting/ visualization * He shall have good understanding of UNIX. Should be well conversant in English and should have excellent writing, MIS, communication, time management and multi-tasking skill Preferred Technical And Professional Experience Experience with various cloud and integration platforms (e.g. AWS, Google, Azure) Agile mindset - ability to process changes of priorities and requests, ownership, critical thinking Experience with an ETL/Data Integration tool (eg. IBM InfoSphere DataStage, Azure Data Factory, Informatica PowerCenter)