What are the responsibilities and job description for the Data Governance Specialist position at Atlantis IT group?
Job Details
Job Description
Job Description
Data Governance Specialist
Toronto
Role Description: Assist the Data Governance Lead Product Owner to achieve outcomes defined in the Book of Work and KPIs/OKRs assigned for our segment. Support the technical deployment and enablement of the Azure Purview and work with vendor to prioritize features on the roadmap. Contribute and provide practical guidance around data quality, metadata management, Data access and security Ensure all data management processes conform to standard operating procedures and aligns with a modern data architecture & enterprise technology standards and policies, including the Global EDL standards. Support the Data Quality POC including but not limited to data profiling, write data quality rules, tables mapping based on the critical data elements defined, data quality score and monitoring, DQ production deployment. Design, upgrade and implement innovative data workflows, automation, tools, and API integrations. Work with Lead Product Owner and global counterparts to promote a data driven culture through data literacy programs and best practices. Innovation and Continuous Improvement through evaluation and Proof of Concept of new data technologies and capabilities that are value-driven to the organization
Essential Skills: 5 years professional experience in big data management including a university degree in Engineering, IT, Computer Science, Mathematics, Physics, or equivalent program.Expert knowledge of data governance concepts, not limited to metadata, data quality, lineage, data protection and organizational accountability. Expertise in data technologies and the use of data to support software development, advanced analytics, and reporting. Extensive experience implementing data storage solutions, managing, and developing data processing, and optimizing data solutions (Azure). Expertise in integrating, transforming, and consolidating data from structured and unstructured data systems suitable for analytics solutions. Understanding of parallel processing and data architecture patterns. Knowledgeable in data processing languages such as SQL, Python, Go, Java, or Scala. Experience in building secure data processing pipelines using Azure data services. Knowledge of basic TCP/IP protocols, REST and RPC protocols. Familiar in developing code in IDE's like VSCode, PyCharm etc. with knowledge of basic code versioning in GIT. Ability to work with minimal or no supervision; ability and initiative to organize various functions necessary to accomplish department activities or goals and be a strong team player.
Desirable Skills: Azure Storage Explorer/Data Studio, Synapse /Azure Data Factory, Azure Data Lake Gen 2
Essential Skills: 5 years professional experience in big data management including a university degree in Engineering, IT, Computer Science, Mathematics, Physics, or equivalent program.Expert knowledge of data governance concepts, not limited to metadata, data quality, lineage, data protection and organizational accountability. Expertise in data technologies and the use of data to support software development, advanced analytics, and reporting. Extensive experience implementing data storage solutions, managing, and developing data processing, and optimizing data solutions (Azure). Expertise in integrating, transforming, and consolidating data from structured and unstructured data systems suitable for analytics solutions. Understanding of parallel processing and data architecture patterns. Knowledgeable in data processing languages such as SQL, Python, Go, Java, or Scala. Experience in building secure data processing pipelines using Azure data services. Knowledge of basic TCP/IP protocols, REST and RPC protocols. Familiar in developing code in IDE's like VSCode, PyCharm etc. with knowledge of basic code versioning in GIT. Ability to work with minimal or no supervision; ability and initiative to organize various functions necessary to accomplish department activities or goals and be a strong team player.
Desirable Skills: Azure Storage Explorer/Data Studio, Synapse /Azure Data Factory, Azure Data Lake Gen 2
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