The Data Modeler is responsible for the development of high performance, scalable enterprise data models on cloud platform. Should possess strong SQL skills with excellent data modelling skills. Needs to be well versed in the Kimball methodology. Should participate in various activities throughout the systems development lifecycle. Also responsible for analyzing, architecture, designing, programing, and debugging existing/new products to be developed and mentoring team members. Taking ownership and demonstrate high professional and technical ethics including a consistent focus on emerging and predominant technologies that help the organization.
Define, design, implement enterprise data models.
Build and design comprehensive Kimball compliant data models in Analytic layer of data warehouse.
Build and design 3rd normal form compliant data models in hub layer of data warehouse
Translate tactical/strategic requirements to ensure effective solutions which meet business needs.
Demonstrated ability to take ownership of initiatives and comfortable seeking help.
Participate and provide consultation on complex initiatives.
Comfortable tackling new problems and learning along the way.
Review specifications and coach to ensure consistency in approach and use.
Research improvements in coding standards, participate in code reviews.
Refactor code to improve testability and maintainability when needed.
Perform detailed technical design, development and unit testing of custom applications and data flows in the context of projects, releases, and production support.
Deliver high quality code for features and bug fixes.
Demonstrated ability to effectively adapt to changing technology.
Requirements:
Education:
Bachelor’s degree in Computer Science, Information Systems or other technical area (Preferably B.E in Computer Science/Information Tech)
Experience:
5+ years of work experience in data modeling
3+ years' experience building, architecting, designing, and implementing highly distributed global cloud-based systems on AWS and GCP, and experience in data pipelines, streaming analytics, modern databases, network infrastructure, security, data, and application development.
Experience with graph database
Experience in data identification, ingestion, transformation, and consumption related work
Programming Language Skills (Python, Node Js, Unix Scripting)
Experience on GCP Cloud Ecosystem (Big Query, Data Flow, Airflow, Cloud Storage and equivalent tools on other Cloud solutions, design/build data services)
Experience in all aspects of software engineering, during these deliverables: Define, architect, build, test, and deploy
Skills/Knowledge:
Technical Skills: Demonstrated and proficient in SQL & Query optimization, working on RDBMS and Data Warehouses.
Experience Modeling data into star schemas using the Kimball methodology.
Experience Modeling data into 3rd normal form
Experience in Agile methodology
Excellent problem-solving and analytical skills
Experience with CICD frameworks and common Dev Ops practices
Experience working in an onsite-offshore model
Awareness about the Metadata, Data Quality and Governance needs of Data and Analytics platforms
Soft Skills: Leadership, analytical, engineering, problem solving, presentation and communication skills.
Ability to work with a broad group of team members with diverse backgrounds
Ability to take a decision and articulate back to leadership as well as business teams
Ability to guide other team members through a complex problem or deliverable
#Tyson MXT
Relocation Assistance Eligible:
No
Work Shift:
Hourly Applicants ONLY -You must complete the task after submitting your application to provide additional information to be considered for employment.
Tyson is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will be considered without regard to race, national origin, color, religion, age, genetics, sex, sexual orientation, gender identity, disability or veteran status.
We provide our team members and their families with paid time off; 401(k) plans; affordable health, life, dental, vision and prescription drug benefits; and more.
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We regret to inform you that this job opportunity is no longer available