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What you bring
Great-to-haves
L2 and L3 Data Management Engineer - TI290125
Toronto - Remote, ON · Information TechnologyDescription
- Provide high-quality solutions by coding, testing, debugging, documenting, and maintaining programs. Developing and modifying moderately complex information systems involves most systems analysis and programming phases
- Assists in the development of integration of metadata and lineage information from various data platforms and applications with Collibra or other enterprise tools
- Participate in the design, implementation, and maintenance of Data Catalog, Data Quality, and MDM systems and architecture
- Collaborate extensively with infrastructure and platform teams, fostering seamless integration of the master and metadata platforms within the organizational ecosystem, ensuring its scalability and efficiency
- Design and code API based solutions for procuring data from disparate sources as well as exposing functionality from MDM, Data Quality, and Data Catalog applications
- Lead discovery and recording of business metadata and ensure that the metadata remains up to date for assigned data assets
- Initiate the creation and maintenance of master data records across the organization
- Facilitate the resolution of data quality issues in conjunction with business, IT, and Enterprise Data teams, through the appropriate choice of error detection and correction, process control and improvement, or process design strategies along with the appropriate technical implementation.
- Build and maintain conceptual, logical, and physical data models where needed.
- Risk Management: Identify potential risks and vulnerabilities within existing implementations. Develop mitigation strategies and contingency plans to address these risks and ensure business continuity
- Experience in requirements management, diagramming, use case development (UML), data mapping (different layers), data validation, match and merge rules
- Build and sustain relationships on our global team with business partners, professional peers, and other TELUS Health team members
- Work in an agile delivery team to break down stories and deliver functionality in sprints
- Ensure that the data management and metadata management strategies are implemented, continuously improved, and reflected in data standards, tools, and practices
- Properly prioritize business and enterprise demands and accurately translate business requirements and functionality into technical solutions
What you bring
- Extensive experience of 3+ years in a variety of technical fields including software, data, and infrastructure engineering is required. This experience gives you a deep understanding of the full stack required to deliver and operate the software
- Proven experience in developing and implementing MDM and metadata strategies and technical solutions
- Fluent in multiple programming languages and development stacks. Knowledgeable of multiple systems to design more resilient and maintainable solutions (more details below)
- Working knowledge and 3+ years experience with data governance principles and frameworks including:
- Source system profiling via a variety of tools and methods (Informatica, Collibra, Google Cloud Tools, etc.)
- Ability to write data quality rules (business facing and code)
- Data lineage/data catalog knowledge
- Master data management
- 3+ years API development experience with various tools and technologies including REST, GraphQL, JavaScript, JSON, XML, Python, JDBC, Google Cloud Data Tools
- 3+ years of experience with cloud platforms: Google Cloud Platform (GCP) (Preferred), AWS, and Azure,
- 3+ years developing and working with Data Warehouses, Data / Information Marts, Data Lakes, Data Ingestion & Storage.
- SQL capabilities: writing, reading, and troubleshooting at a moderate to advanced level
- ETL Ability: Able to support basic ETL code and processing, can create, adjust code, or help run items as required.
- Regular expressions and scripting - the ability to write, edit, and interpret regular expressions. Experience with scripting tools and development (e.g. Java, Python, Perl, PowerShell, Bash, SQL)
- 3+ years’ experience working in a variety of data models, ODS, Relational, Fact/Dimension
- Strong project management, analytical, and problem-solving abilities
- Exceptional communication and interpersonal skills, with the ability to engage effectively with technical and non-technical stakeholders.
- Experience in an agile work environment
- Ability to manage multiple topics in a fast-paced environment and cross-functionally support our internal / external business customers
- Strong attention to detail
- Comfortable with high level of ambiguity and possess a continuous improvement mindset
- Ability to work independently and in a team environment
- Must have strong change management orientation, skills, and experience
Great-to-haves
- Master level or equivalent
- 5+ years of progressive and relevant work experience with enterprise data
- Experience with leading platforms like Informatica MDM and the Collibra Data Intelligence Platform
- Experience with the data offerings in the Google Cloud Platform
- Experience in the healthcare data and technology domain, specifically around supporting Private & Public Payors, Providers and Employer-based programs