Senior Data Engineer
Sólides
full-time
Posted on:
Location Type: Remote
Location: Brazil
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Job Level
About the role
- Design, develop, and maintain robust, scalable data pipelines, ensuring 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 modern architecture principles (Lakehouse, data layering, distributed processing)
- Build data infrastructure that supports growth, new products, and analytical demands with security and governance
- Support analytical data modeling, ensuring technical structures correctly support business metrics and KPIs
- Collaborate with Analytics Engineers and Data Analysts to enable consistent, reusable, and high-performance models
- Ensure that data delivered for analytical consumption maintains quality standards and traceability
- Implement and evolve pipeline monitoring and automated data validations, performing troubleshooting when necessary
- Adopt best practices for data testing, versioning, and technical documentation
- Act as a technical lead, supporting team development and the adoption of engineering standards
Requirements
- Solid experience in data engineering, working with relational and non-relational databases
- Strong track record in developing, supporting, 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 strong sense of ownership and results orientation
- 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 experience as a technical reference or mentor in data teams
- Data-as-a-product mindset, with a focus on reliability and scale
Benefits
- Meal allowance / food voucher of R$45.00 per working day (Sólides Benefits Card)
- Transportation voucher or fuel allowance
- Unimed health plan with co-participation, 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 subjects to postgraduate level (Qualifica)
- Access to all courses from Escola de Pessoas
- Home office allowance of R$60.00 (Sólides Benefits Card)
- English course (English Pass)
- On-site conveniences (company manicure, healthy snack, among others)
- Birthday day off
- Totalpass
- Responsible Credit (payroll-deductible loan via Sólides Benefits)
- Childcare allowance - for mothers and fathers with children up to 3 years and 11 months
- Allowance for special dependent (also extended to fathers)
- Sólides Patinhas (15% discount on DogLife plans)
- Ânima ecosystem agreement (discount on undergraduate and postgraduate courses at institutions within the group)
- Sólides postgraduate (70% discount)
- Partnerships with OnHappy, Detronic, and SESC
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringdata pipelinesSQLPythonPySparkcloud data platformsDatabricksdata modelingdata testingdata validation
Soft Skills
analyticalproactiveownershipresults orientationcollaborationtechnical leadershipmentoring