L2 and L3 Data Management Engineer-Canada

L2 And L3 Data Management Engineer

Location: Remote-Canada

Duration: 6-12+ Months

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

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.