Software Developer in Test working on cloud - based data platform at Tecsys. Ensuring quality and reliability of data pipelines and transformations using automation frameworks.
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
Data Engineer responsible for designing, building, and optimizing data pipelines and architectures in a tech environment. Requires extensive experience with modern data warehousing and cloud platforms.
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