L2 and L3 Data Management Engineer

Role: L2 and L3 Data Management Engineer
Location: Remote-Canada
Duration: 6-12+ Months
Job Description: –
•            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
•            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
•            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
•            Proven experience in developing and implementing MDM and metadata strategies and technical solutions
•            Working knowledge and 3+ years’ experience with data governance principles and frameworks including:
1)           Source system profiling via a variety of tools and methods (Informatica, Collibra, Google Cloud Tools, etc.)
2)           Ability to write data quality rules (business facing and code)
3)           Data lineage/data catalog knowledge
4)           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