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IBM Data & AI Technical Consultant Brazil, São Paulo, São Paulo 32782340
12.08.2024
Your Role and Responsibilities
Technical Consultants in this job role will have expertise in managing and operation of IT hardware, software, communications, and/or application solutions, and the resources required to plan for, develop, deliver, and support properly engineered IT services and products to meet the needs of a business. Focus on Take-out projects, replacing competitor softwares to IBM Automation solutions.
The scope of this job role includes preparation for new or changed products, services, management of the change process, and professional standards, management of performance of systems and services in relation to their contribution to business performance.
The scope of this job role includes preparation for new or changed products, services, management of the change process, and professional standards, management of performance of systems and services in relation to their contribution to business performance.
- Environment: Professional knowledge related to incumbent’s function/business unit and its processes.
- Communication/Negotiation: Advise other professionals. Effectively use group dynamics. Negotiate to define approaches and goals.
- Problem Solving: Recognize complex problems related to functional objectives. Analyze situations and implement solutions, or develop new system elements, procedures, or processes. Creativity and judgment applied to developmental work on different projects within the business environment.
- Contribution/Leadership: Provides ongoing technical / operational guidance to lead professional work teams, conducts special projects, or manages department(s) (national or international). Understand department/ functional mission and vision. Defines and decides objectives within specified business concept or project and may have responsibility for tools and assigned resources. Utilizes expertise to directly influence people outside department or function.
- Impact on Business/Scope: Accountable for department results and activities and/or projects involving multi-functional teams. Regularly participates in overall functional program planning. Activities are subject to business measurements, impact customer satisfaction, and impact project costs or expenses.
Required Technical and Professional Expertise
- IA / Machine Learning Data Science experience – statistical models, machine learning algorithms, Artificial Intelligence
- Data Engineering
- Data Management: Understanding of data governance, data quality, and data lifecycle management
- Data Integration: Skills in integrating various data sources, both structured and unstructured, using ETL (Extract, Transform, Load) tools and techniques
- Data Modeling: Ability to create conceptual, logical, and physical data models that align with business requirements
- Big Data Technologies: Familiarity with big data tools like Hadoop, Spark, or NoSQL databases that can handle large volumes of data
- Cloud Computing: Familiarity with cloud platforms (like AWS, Azure, and Google Cloud) as many data fabric solutions are cloud-based
- APIs and Microservices: Understanding of building and consuming APIs and microservices to facilitate data access and integration;
- Analytical Skills: Ability to analyze data and derive insights that can inform business decisions
As above
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