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Data Solution Architecture Senior Analyst (AWS)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Data Solution Architecture Senior Analyst (AWS): Building and deploying scalable data products, pipelines, logical data layers, algorithms, and reporting solutions with an accent on cloud infrastructure, analytics tooling, and DevOps/MLOps integration. Focus on troubleshooting complex technical issues, supporting data engineers and data scientists, and facilitating user acceptance testing across analytics initiatives.
Location: CR GBS Heredia Office, Costa Rica
Company
is a global tire manufacturer with approximately 68,000 employees, 51 manufacturing facilities in 19 countries, and innovation centers in the United States and Luxembourg.
What you will do
- Design, build, and deploy scalable data products, logical data layers, data streams, algorithms, and reporting systems.
- Connect data product design with DevOps practices and cloud infrastructure, including AWS EKS.
- Administer and maintain analytics tools, resolve incidents, and troubleshoot complex technical issues.
- Partner with data engineers and data scientists on analytics product implementation.
- Guide technical, IT, business, and executive stakeholders on data solutions, standards, and best practices.
- Support analytics methodology and standards and facilitate user acceptance testing with business owners.
Requirements
- At least 2 years of experience building data pipelines with Python, SQL, and/or dbt.
- Understanding of data architecture concepts and processes.
- Experience configuring and deploying cloud infrastructure.
- Exposure to DevOps and MLOps processes and infrastructure for analytics applications.
- Exposure to AI/ML application design and development.
- Strong analytical, problem-solving, communication, and stakeholder collaboration skills.
Nice to have
- Demonstrated success identifying business requirements and working with business stakeholders.
- Knowledge of the organization’s mission, operations, structure, and goals.
Culture & Benefits
- Full-time employment.
- Relocation is not available.
- Work involves collaboration across technical, business, and executive organizations.
- High standards of ethics, confidentiality, integrity, and professional conduct.
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