Data Engineer (Databricks)

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Engineer (Databricks) based in Brazil.

This role offers the opportunity to design and build modern data solutions that support strategic business initiatives in a technology-driven environment. You will work on scalable data platforms, developing reliable pipelines and architectures that enable better decision-making. The position combines data engineering, cloud technologies, distributed processing, and data modeling practices. You will collaborate with technical and business teams to transform complex data needs into efficient and high-quality solutions. Working remotely, you will contribute to innovative projects focused on advanced technology and digital transformation. This is an opportunity for a data professional who enjoys solving complex challenges and building impactful data ecosystems

Accountabilities: As a Data Engineer, you will be responsible for developing and maintaining scalable data platforms, ensuring efficient data processing, reliability, and accessibility. You will contribute to the creation of data solutions that support business requirements while applying modern engineering practices across cloud and distributed environments.

Develop and maintain data solutions for commercial credit and agribusiness platforms.

Design functional and data models aligned with business requirements and technical needs.

Build, optimize, and maintain scalable and reliable data pipelines using modern processing technologies.

Implement data ingestion, transformation, and delivery processes while ensuring quality, performance, and consistency.

Work with distributed data processing frameworks to handle large-scale datasets efficiently.

Support the development and evolution of Data Lake and Data Lakehouse architectures.

Collaborate with cross-functional teams to improve data availability and usability.

Apply engineering best practices to ensure robust, secure, and maintainable data solutions.

Requirements:

The ideal candidate is a data engineering professional with experience building cloud-based data platforms and working with modern data processing technologies. You should have strong technical knowledge, analytical thinking, and the ability to collaborate effectively in a dynamic environment.

Experience with Apache Spark for distributed data processing.

Experience with Apache Airflow for workflow orchestration and pipeline management.

Knowledge of Apache Kafka for real-time data processing and integration.

Experience with dbt (Data Build Tool) for data transformation and modeling.

Experience working with SQL and NoSQL databases such as PostgreSQL, MongoDB, and Cassandra.

Experience with cloud data platforms such as Databricks, AWS Glue, and Google BigQuery.

Knowledge of implementing and maintaining Data Lake and Data Lakehouse architectures.

Strong understanding of data engineering principles, pipeline optimization, and data quality practices.

Ability to analyze business requirements and translate them into scalable technical solutions.

Strong collaboration skills and ability to work effectively in a remote team environment.

Benefits:

Fully remote work model with flexibility to work from anywhere in Brazil.

Opportunity to work on innovative data platforms and advanced technology projects.

Exposure to modern cloud, AI, and data engineering ecosystems.

Professional growth opportunities through challenging technical initiatives.

Collaborative environment focused on continuous learning and knowledge sharing.

Opportunity to contribute to impactful solutions across complex business domains.

Inclusive workplace open to professionals from diverse backgrounds.

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!  Why Apply Through Jobgether?    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.     #LI-CL1