SPECIALISTS
sOLUTION ARCHITECT
- Designing software systems with various technologies the MM Guide stack offers and ensure compliance with all architectural requirements.
- Developing solutions for various components and recommend changes for customers.
- Designing application architecture and ensure appropriate implementation of the solution.
- Reviewing infrastructure for any issues and recommend solutions.
SOFTWARE ENGINEER
- Modifying, expanding, and optimizing existing systems, processes, and programs.
- Designing, developing and implementing new systems and programs.
- Ensuring those non-functional requirements are adequately considered and met as part of the development cycle.
- Actively promoting automation techniques, such as automated build management, automated regression testing, automated deployment.
- Adhering to security and other policies, standards, and procedures.
- Executing unit- and integration tests.
- Acknowledging and communicating (potential) risks within the team and to the stakeholders.
- Reviewing work of colleagues, including code reviews.
VBA SPECIALIST
- Analyzing and revising existing system logic difficulties, and ensure that technical knowledge of all phases of application systems is maintained.
- Developing, maintaining, and supporting existing MS Excel VBA applications, and analyze and convert business requirements as needed.
- Building VBA applications in a bid to automate Excel spreadsheets.
- Developing, enhancing, and maintaining MS Office applications, and handle both frontend and backend development procedures.
- Designing, configuring, developing and implementing enhancements and production fixes to existing systems.
BUSINESS ANALYST
- Analyzing and advising on business processes and policy and the effects thereof on information provision.
- Taking the lead during the articulation of the business demand and make proposals for the desired information provision.
- Independently researching the feasibility and impact of the functional need.
- Translating the needs into visualizations.
- Performing data modeling tasks.
- Producing management reports.
- Taking care of the interaction between sources and data warehouses.
- Supporting project teams that give the technical interpretation to requirements from the business.
DATA ENGINEER
Many companies are aware of the added value of data but do not yet have the means to fully leverage this data. We guide companies to achieve their short and long-term data goals.
Our data engineers provision and set up data platform technologies that are on-premise or in the cloud. They manage and secure the flow of structured and unstructured data from multiple sources. Data engineers ensure that data services securely and seamlessly integrate with other data platform technologies or application services such as Azure Cognitive Services, Azure Search, or even bots.
Our specialists are equipped to be involved in the design of architectures, the build, and deployment with Azure DevOps and other Azure services. They also configure ETL and Azure Data Factory pipelines and perform data engineering. We have extensive technical knowledge of existing technologies such as the Azure Data Platform, SQL Datawarehouse, Azure Data Lake, and Azure Databricks. Our data engineers have years of experience in software development environments of BI, data, and data warehousing.
- Implementing data storage solutions.
- Managing and developing data processes.
- Monitoring and optimizing data solutions.
- Designing & implementing Azure data storage solutions.
- Designing & implementing data processing solutions.
- Designing & implementing for data security and compliance.
BUSINESS INTELLIGENCE SPECIALIST
- Doing business analysis to gather required BI system requirements.
- Translating business requirements into specifications that will be used to drive data store/ data warehouse/ data mart design and configuration.
- Using ETL tools to load data store(s)/ data warehouse(s)/ data mart(s).
- Transitioning developed BI systems to the Operations & Support team.
- Providing support as required to ensure the availability and performance of enterprise data and BI environments for both external and internal users.