Senior Data Architect
hace 2 semanas
Job Summary:
The Senior Data Modeler will be responsible for designing and developing high-performance, scalable enterprise data models on cloud platforms. This role requires strong SQL skills, excellent data modeling skills, and a deep understanding of the Kimball methodology.
Key Responsibilities:
- Develop and maintain enterprise data models that meet business requirements.
- Build Kimball-compliant data models in the Analytic layer of the data warehouse.
- Design and implement 3rd normal form compliant data models in the hub layer of the data warehouse.
- Translate business requirements into effective data models that meet business needs.
- Participate in the development of complex initiatives and provide consultation on data modeling best practices.
- Collaborate with cross-functional teams to ensure data models meet business requirements.
- Stay up-to-date with emerging technologies and trends in data modeling.
Requirements:
- Technical Skills: Hands-on experience in SQL & Query optimization, working on RDBMS and Data Warehouse (ER and Dimensional modeling).
- Experience modeling data into star schemas using the Kimball methodology.
- Experience modeling data into 3rd normal form.
- Experience in Agile methodology.
- Experience with CICD frameworks and common DevOps practices.
- Experience working in an onsite-offshore model.
- Awareness about the Metadata, Data Quality and Governance needs of Data and Analytics platforms.
Preferred Qualifications:
- Experience with graph database.
- Experience in data identification, ingestion, transformation, and consumption related work.
- Programming Language Skills (Python, NodeJs, Unix Scripting).
- Experience on GCP Cloud Ecosystem (Big Query, DataFlow, Airflow, Cloud Storage and equivalent tools on other Cloud solutions, design/build data services).
About Tyson Foods:
Tyson Foods is a leading food company that is committed to providing high-quality products to our customers. We are seeking a talented Senior Data Modeler to join our team and contribute to the development of our data models.
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