Key skills
CloudPySparkPythonSQLRData EngineeringAnalyticsDatabricksSaaS
About this role
Role Overview
- Design, develop and maintain robust, scalable data pipelines, ensuring data integrity, performance and availability;
- Work on ingestion, transformation and integration of data from multiple internal and external sources;
- Actively contribute to the evolution of the data architecture, applying principles of modern architectures (Lakehouse, data layers, distributed processing);
- Build data infrastructures that support growth, new products and analytical demands with security and governance;
- Support analytical data modeling, ensuring technical structures properly support business metrics and KPIs;
- Collaborate with Analytics Engineers and Data Analysts to enable consistent, reusable and high-performing models;
- Ensure data delivered for analytical consumption meets quality and traceability standards;
- Implement and evolve pipeline monitoring and automated data validations, performing troubleshooting when necessary;
- Adopt best practices for data testing, versioning and technical documentation;
- Serve as a technical leader, supporting team development and the adoption of engineering standards.
Requirements
- Solid experience in data engineering, working with relational and non-relational databases
- Strong experience in developing, maintaining and optimizing data pipelines in production environments
- Advanced SQL proficiency and practical experience with Python
- Experience with PySpark and cloud data platforms such as Databricks or equivalent Lakehouse environments
- Analytical, proactive profile with a sense of ownership and results-oriented
- Degree in Engineering, Computer Science, Information Systems, Mathematics, Statistics or related fields
Nice-to-have:
- Experience in SaaS companies or fast-growing environments
- Experience with business metrics and recurring financial indicators
- Experience with data quality, data lineage or data catalogs
- Previous role as a technical reference or mentor in data teams
- Data-as-a-product mindset, focused on reliability and scalability.
Tech Stack
- Cloud
- PySpark
- Python
- SQL
Benefits
- Meal allowance (food/meal card) of R$45.00 per working day (Sólides Benefits Card)
- Commuting allowance or fuel allowance
- Unimed health plan with co-payment, no monthly fee
- OdontoPrev dental plan, fixed monthly fee of R$21.91
- Therapy: partnership with Psicologia Viva
- 3 free sessions per month
- Online courses ranging from Culinary Arts to Postgraduate (Qualifica)
- Access to all courses from the Escola de Pessoas
- Home office allowance of R$60.00 (Sólides Benefits Card)
- English course (English Pass)
- On-site conveniences (manicure at the office, balanced snacks, among others)
- Day off during the employee's birthday month
- Totalpass
- Responsible credit (payroll-deductible loan via Sólides Benefits)
- Childcare assistance for parents with children up to 3 years and 11 months
- Assistance for special dependents (extended to parents)
- Sólides Patinhas (15% discount on DogLife plans)
- Ânima ecosystem agreement (discount on undergraduate and graduate programs within the group)
- Sólides postgraduate programs (70% discount)
- Partnerships with OnHappy, Detronic and SESC