Senior Enterprise Data Architect shaping data flow across Lundbeck by unifying enterprise data platforms. Leading architectural design and governance for scalable and sustainable data solutions.
About the role
- Data Engineer building scalable data pipelines for analytics at UOL EdTech. Collaborating with data teams and supporting data-driven culture in education technology.
Responsibilities
- Build and maintain scalable data pipelines.
- Develop ETL/ELT processes for analytical consumption.
- Design and implement analytical models and data structures.
- Support the promotion of a data-driven culture.
- Collaborate with analysts, data scientists and product teams.
- Document processes and guide users in data consumption.
Requirements
- Bachelor's degree in technology-related or STEM fields.
- Experience with Python, SQL and PySpark.
- Proven experience developing production data pipelines.
- Knowledge of data modeling, ETL, Data Warehouse and Data Lake.
- Experience with cloud environments (Azure preferred).
- Intermediate English for technical reading and writing.
- Availability to work in a hybrid model (3 days per week).
Benefits
- Meal and/or food allowance.
- Health and dental insurance.
- Life insurance.
- Partnerships with TotalPass and ZenKlub.
- Extended maternity and paternity leave.
- Childcare assistance.
- Discounts up to 50% on postgraduate and MBA programs from major institutions such as FIA, FAAP and PUCRS.
- No dress code: the important thing is to wear what makes you feel comfortable.
- #TáDeParabéns: Day off on your birthday.
- Baby gift for newborns.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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