This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Consultor Databricks Pleno based in Brazil.
As a Mid-Level Databricks Consultant, you will contribute to data engineering projects focused on building, maintaining, and optimizing modern data pipelines.
You will work extensively with Databricks to support data ingestion, transformation, integration, and delivery processes.
The role offers the opportunity to apply Python, PySpark, and SQL to solve real-world data challenges and improve data platform performance.
You will collaborate with technical teams and stakeholders to translate business needs into reliable and scalable data solutions.
This is a fully remote opportunity within a collaborative environment that values initiative, efficiency, innovation, and measurable results.
The initial engagement is for four months, with the possibility of extension depending on project needs and performance.
It is an excellent opportunity for a data professional looking to deepen their expertise in Databricks and contribute to impactful data engineering initiatives.
Accountabilities:
- Develop, maintain, and optimize data pipelines using Databricks to support ingestion, transformation, and data availability requirements.
- Build scalable and reliable data processing workflows using Python and/or PySpark.
- Write and optimize SQL queries for data manipulation, transformation, and analysis.
- Implement and support ETL/ELT processes and data integration workflows across different sources and systems.
- Contribute to the evolution, stability, and performance of the data platform.
- Analyze technical requirements and translate business needs into effective data engineering solutions.
- Collaborate with team members and stakeholders to resolve technical challenges and ensure high-quality project delivery.
- Apply best practices for data engineering, code quality, maintainability, and pipeline performance.
- Use Git and version control practices to support collaborative development when applicable.
- Proactively identify opportunities to improve existing processes, workflows, and data solutions.
Requirements:
- Previous experience working as a Data Engineer or Databricks Consultant, with practical experience in Databricks environments.
- Hands-on experience developing and maintaining data pipelines using Databricks.
- Solid programming experience with Python and/or PySpark.
- Good knowledge of SQL for data manipulation and transformation.
- Practical experience with ETL/ELT processes and data integration.
- Familiarity with Git and code versioning practices is considered a plus.
- Strong collaborative skills and the ability to work effectively as part of a technical team.
- Assertive and proactive communication style, with the ability to take ownership of assigned activities.
- Strong sense of urgency and prioritization when managing competing demands and deadlines.
- Ability to work independently in a remote environment while maintaining consistent delivery and communication.
Benefits:
- Fully remote work model, providing flexibility to work from your preferred location in Brazil.
- Initial 4-month engagement with the possibility of extension.
- PJ (service provider) contract model.
- Access to learning and development incentives, including Udemy programs.
- Corporate English classes available at accessible rates.
- Opportunity to work on data engineering projects and strengthen your expertise in Databricks, Python/PySpark, SQL, and modern data pipelines.
- Collaborative environment focused on professional development, innovation, efficiency, and meaningful results.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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