This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Cientista de Dados Pl/Sr - Afirmativa PCDs based in Brazil.
This is an opportunity to join a highly collaborative and innovation-driven data team focused on building scalable, high-impact solutions.
The role involves working end-to-end on data pipelines, modeling, and analytics that support strategic decision-making across the business.
You will contribute to the design and implementation of modern data architectures in cloud environments.
The environment values technical excellence, agile practices, and continuous improvement.
It is a space where diversity of perspectives is encouraged and considered essential for innovation.
You will work closely with cross-functional teams, transforming complex data into actionable insights.
The position offers exposure to large-scale data challenges and modern data engineering tools.
Accountabilities:
- Design, build, and maintain scalable data pipelines and data processing solutions using modern cloud and big data tools.
- Develop and optimize data workflows using Databricks, AWS, Python, and PySpark.
- Ensure high-quality data modeling, transformation, and availability for analytics and business consumption.
- Work with SQL for querying, validation, and structuring datasets following best practices.
- Collaborate with cross-functional teams in agile environments to deliver end-to-end data solutions.
- Use version control and task management tools (Git, Jira) to ensure organized and traceable development.
- Support architecture decisions and contribute to cloud-based data platform evolution.
Requirements:
- Proven experience with Databricks and AWS in data engineering or data science contexts.
- Strong programming skills in Python and PySpark for data manipulation and pipeline development.
- Solid knowledge of SQL and data modeling principles.
- Experience with version control systems (Git) and task tracking tools (Jira or similar).
- Understanding of databases for data consumption, validation, and integration.
- Familiarity with cloud architectures (AWS, Azure, GCP or similar).
- Nice to have: experience with agile methodologies, BI tools (preferably Power BI), and data initiatives such as ETL, Big Data, or analytics projects.
Benefits:
- Meal and food allowance (iFood card or equivalent).
- Home office allowance.
- Health and dental insurance plans.
- Extended maternity and paternity leave.
- Life insurance coverage.
- Birthday day off.
- Educational partnerships and learning support.
- Wellness partnerships (such as TotalPass and health services).
- Reimbursement programs for eligible expenses.
- Flexible working hours.
- Casual dress code – be yourself at work.
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