Data Migration Engineer at gaiia owning the technical execution of data migrations for telecom service providers. Focusing on transforming customer data from legacy systems into gaiia's platform.
About the role
- Data Architect designing enterprise-level data storage solutions for Servus Credit Union. Collaborating with teams to enhance data practices supporting the organization's goals.
Responsibilities
- Identify and suggest new technology to enhance data systems and support business needs
- Collaborate with business analysts, Data Management teams, Data Analytics, Data Science, and other IS analysts to convert business requirements into enterprise data solutions
- Design and build enterprise data storage and access solutions, integrating multiple data sources and systems
- Maintain data quality, integrity, and reliability by promoting best practices
- Develop formal architectural documentation based on project needs
- Recommend standards to optimize performance and efficiency within the data storage ecosystem
- Implement security frameworks to manage data and visualization access effectively
- Build consensus between business and technical partners and understand other business units involved
- Handle highly complex requests and solutions spanning IS and business functions
- Design, execute, modify, and optimize data masking for integrated data sources
- Lead, document, and implement aspects of information provisioning, data analysis, profiling, modeling, masking, provisioning, and R&D
- Manage current and future needs concerning data design, structure, content, and inventory
- Analyze, design, and support implementation for complex service requests
- Research business issues and aid in developing complex data models
- Conduct unit testing, including creating test cases based on requirements; possess advanced knowledge of unit and user acceptance testing
- Review test plans and participate in testing to ensure deliverables meet expectations
- Actively promote teamwork and continuous improvement
- Practice active listening with colleagues
- Communicate promptly and escalate issues to leaders or project managers as needed
- Write clear, professional, and engaging business correspondence
- Encourage peer review of deliverables, supporting consistent and effective documentation that aligns with team standards and templates
- Coach and mentor others in the data management teams
Requirements
- Holds a post-secondary IT or computer technology qualification
- Over 10 years of Business Intelligence experience, including SQL, SQL Server, SSAS, SSRS, SSIS, Power BI, and ETL tools
- Highly skilled with cloud platforms (Databricks, Azure, DBT)
- Experienced in data modeling, Master Data Management, and system support
- Proficient in developing and enforcing coding standards; testing (unit, compliance, integration, volume, user acceptance); and troubleshooting complex business issues
- Designs reusable data components to enhance team efficiency
- Strong communication, active listening, and business analysis abilities
- Experienced in Agile/Scrum approaches, team leadership, and project management
- Training or experience in analytics, machine learning, and AI is a must
- Data Management training or certifications (eg: DAMA®)
- Microsoft Architecture training or certifications (eg: Azure Data Engineer Associate)
- Architecture Process Training or Certifications (eg: TOGAF®)
Benefits
- Competitive compensation including performance-based incentive pay and profit share
- Training & Development Opportunities
- Career Advancement Potential
- Flexible work options
- Meaningful work towards individual and corporate goals
- Opportunities to get involved and give back through an employee volunteer program
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