What are the responsibilities and job description for the Data Governance Analyst position at Global Network Technologies?
Job Title: Data Governance Analyst (Azure: Data Lake, Data Pipeline, Databricks)
Location requirements/Schedule: This role is hybrid.
Location/s: : St. Louis, MO - On Site - Monday-Thursday, Friday (only) Remote.
Duration: 12 months to start
Visa: USC, GC
Required
Primary Responsibilities
Location requirements/Schedule: This role is hybrid.
Location/s: : St. Louis, MO - On Site - Monday-Thursday, Friday (only) Remote.
Duration: 12 months to start
Visa: USC, GC
Required
- Cloud-based data environments, Azure Data Lake
- Building, deploying, and maintaining data pipelines in Azure Cloud.
- Databricks for enhancing capabilities in data processing, analysis and automation tasks.
- Profisee: MDM (master data management) and solution configuration with Profisee.
- Alation, Collibra, Purview
- API Development and interaction
Primary Responsibilities
- Design, construct, deploy, test, and support solutions and applications using the MDM platform and related technologies, including Python, Azure Data Factory, Databricks, and APIs.
- Serve as the technical subject matter expert (SME) for the MDM platform, overseeing its integrations and data flows to ensure optimal performance and reliability.
- Develop and maintain data pipelines in a cloud environment, preferably Azure, utilizing cloud-based data environments like Azure Data Lake for storage and management.
- Design, construct, deploy, test, and support data storage in big data constructs, relational databases, and other database technologies to meet data governance needs.
- Assess and evaluate system designs to ensure adherence to architecture and design best practices, optimizing for efficiency and scalability.
- Translate and execute use cases into effective data stewardship models, ensuring compliance with all applicable Nestlé standards and regulatory requirements.
- Monitor resources and troubleshoot technical and data-related issues, providing timely resolution to ensure uninterrupted data management operations.
- Communicate issues, risks, concerns, and status to management promptly, ensuring transparency and effective risk management.
- Collaborate with various teams to align data governance processes with business needs and objectives, contributing to team goals through iterative and agile development practices.
- Develop and interact with APIs, performing data mapping of incoming data sources and configuring MDM and Data Catalog tools accordingly.
- Connect and integrate data sources with MDM and data catalog tools, ensuring accurate and reliable data integration and management.
- Education: A.S. Degree or equivalent experience in a related field
- Experience with cloud-based data environments, such as Azure Data Lake
- Experience in building, deploying and maintaining data pipelines in a cloud environment, preferably Azure.
- Experience with Databricks for enhancing capabilities in data processing, analysis and automation tasks.
- Extensive experience in data modeling, data architecture, data analysis and data management.
- Moderate to expert-level SQL skills.
- Demonstrated ability to troubleshoot and resolve technical and data-related issues.
- Excellent interpersonal and communication skills, both verbal and written.
- Ability to create and convey detailed and accurate requirements to stakeholders, partners, and management.
- Experience with master data management and solution configuration, preferably Profisee.
- Experience with related technologies such as Alation, Collibra, and Purview is a plus.
- Proficiency in developing and interacting with APIs.
- Familiarity with data quality concepts and tools to ensure accurate and reliable data integration and management.
