Infosys is seeking a Senior Tableau and Power BI Admin with strong background in designing and deploying machine learning models using MLOPS framework. Ideal candidate will work with clients to understand the issues they face, diagnose problems, design solutions and facilitate solution deployment on Azure ML. One will also have the opportunity to shape value-adding consulting solutions for clients by connecting various functions of cloud components. Ideally the candidate uses understanding of the problem to arrive at multiple solution alternatives keeping in mind the various stakeholders and assess the pros and cons of all the alternatives to arrive at the optimal solution.
Required Qualifications:
- Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
- Candidates authorized to work for any employer in Canada without employer based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time.
- Candidate must live within commuting distance of Calgary, AB - Infosys Hub Locations in Canada or be willing to relocate.
- At least 3 years of experience in Information Technology
- At least 4 years of Information Technology experience
- At least 3 years of experience in Tableau and PowerBI Development and Administration
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Preferred Qualifications:
- Experienced in Agile way of working, manage team effort and track through JIRA
- High Impact client communication
- Domain experience in Retail, CPG and Logistics
- Experience in Test Driven Development and experience in using Pytest frameworks, git version control, Rest APIs
- Good experience in end-to-end implementation of data warehouse and data marts
- Strong knowledge and hands-on experience in SQL, Unix shell scripting
- Good understanding of data integration, data quality and data architecture\
- Experience in Relational Modeling, Dimensional Modeling and Modeling of Unstructured Data