IBM Maximo Consultant

Description:
Our client is looking for an individual with a background in Maximo CMMS, database design and migration, as well as user interface development.
The successful candidate(s) shall have proven skills in the following areas:
Ten or more years of implementing Maximo, including Maximo MMS versions 6 and 7, tables, data, relationships between tables, ERD
Updating and migrating SQL databases
Knowledge of database theory, SQL queries and design concepts
Presenting information verbally and in writing to people of various levels of technical knowledge
In-depth knowledge of SQL and RDBMS, particularly Microsoft Azure datalake
Proven experience with deployments to the cloud (e.g. AWS), preferably in Platform as a Service (PaaS) or Database as a Service (DbaaS) modes.
Data integration - Moving data into the Metrolinx Azure Data Lake from source systems in the Metrolinx cloud (Azure) and on-premises data centers
Data engineering - Curating and Aggregating the data and keeping the data structures usable
Data Science - Descriptive, Explorative, Inferential, Predictive, Causal and Mechanistic data analytics
Expertise in Scrum Agile project delivery methodology
Experience using JIRA and Confluence
Extensive experience in Microsoft Cloud solutions, i.e., designing, developing, and testing technologies listed below:
·      Azure Data Lake
·      Azure Data Factory (data transformation, cleansing, standardization, and aggregation)
·      Synapse
·      Azure SQL Database
·      Customizable Power Apps/Web Apps
·      Power BI
·      Data Bricks
·      Synapse Dedicated Pool
·      Synapse Serverless
·      Microsoft Purview
Experience with automated data validation tools and processes
Knowledge of data processing languages, such as SQL, Python, C#, or Scala
Knowledge of the overall SDLC and pipeline automation CI/CD
Understand parallel processing and data architecture patterns
Knowledge and use of various Azure data services and languages to store and produce cleansed and enhanced datasets for analysis
Preparing documentation needed for the delivery lifecycle and handover to users and operations.
Authoring data governance materials, user, and technical documentation in collaboration with Business Analyst