Data Engineer

Volis; Brasil; Teletrabalho; BRL 80 000 - 100 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Innovative work environment

Collaborative, remote culture

Opportunities for growth

Experience in a rapidly growing startup

Resumo da oferta

A rapidly growing data startup in Brazil seeks a Data Engineer to deliver high-impact data solutions using Palantir Foundry and modern technologies like Airflow and BigQuery. The ideal candidate will have solid experience in designing data pipelines, a strong technical background, and cloud expertise (preferably GCP). Enjoy a collaborative and innovative environment offering personal growth opportunities within the organization.

Qualificações

• Experience as a Data Engineer with proven data pipeline design.
• Strong skills in SQL (preferably BigQuery) and Python.
• Experience with cloud platforms, preferably GCP.

Responsabilidades

• Deliver end-to-end data solutions using Palantir Foundry.
• Develop monitoring and testing strategies for data integrity.
• Collaborate with analysts and data scientists to meet data needs.

Conhecimentos

Data pipeline design

SQL (BigQuery)

Python

Airflow

Terraform

Docker

Kubernetes

Cloud platforms (GCP)

Data modeling

Formação académica

Master's degree in a technical or analytical field

Ferramentas

Palantir Foundry

BigQuery

Descrição da oferta de emprego

Volis: Transforming chaos into order.

At Volis, we are revolutionizing the way companies utilize their data. We are a rapidly growing startup with the mission of unlocking the hidden potential in organizations' data, delivering actionable insights and innovative solutions. We offer end-to-end solutions that cover all aspects of data transformation to the use of AI and Machine Learning algorithms.

Your journey as a Data Engineer:

• Deliver high-impact solutions with Palantir Foundry: Work hands-on with Palantir Foundry to build end-to-end data solutions — from ingestion and modeling to analytics and operational use cases — supporting complex, business-critical projects for large organizations.
• Work with cutting-edge technologies: Utilize modern tools such as Airflow, Airbyte, dbt, BigQuery, Terraform, Kubernetes, Docker, and cloud environments.
• Ensure data reliability and scalability: Develop monitoring, testing, and alerting strategies to guarantee data integrity and performance at scale.
• Collaborate across teams: Work closely with analysts, data scientists, and business stakeholders to understand data needs and deliver high-impact solutions.
• Promote best practices: Help define and implement data engineering standards, ensuring code quality and documentation through GitHub workflows.

What we are looking for:

• Solid experience: experience as a Data Engineer or in similar roles, with a proven track record of designing and implementing data pipelines and architectures.
• Technical excellence: Strong skills in SQL (preferably BigQuery), Python, Airflow, dbt and experience with infrastructure tools like Terraform, Docker, and Kubernetes. Solid knowledge in software development and its best practices is very important.
• Cloud expertise: Experience working with cloud platforms (preferably GCP).
• Ownership mindset: Proactivity, autonomy, and a strong sense of responsibility to solve complex data challenges.
• Results-oriented: Ability to deliver high-quality solutions on time, aligned with business goals, evaluating different possibilities and comparing trade-offs.
• Curiosity and continuous learning: Eagerness to explore new technologies and improve your skills.
• Fluency in English: Essential, as we have English-speaking clients.

What we offer:

• Innovative work environment: Collaborative, remote culture with the opportunity to grow with the company.
• Founder experience: Participate in the creation of a rapidly growing data startup. Help define best practices, processes, and learn by experience.
• Great challenges: Chance to work with large companies in real estate, highway management, construction, and more.

Nice to have skills:

• Enterprise Palantir projects exposure: Previous experience delivering complex data solutions using Palantir Foundry for large organizations, with a strong consulting mindset and focus on translating business problems into scalable data products.
• Experience with MLOps tools and processes (e.g., MLflow, Kubeflow, Vertex AI).
• Experience with data streaming architectures and/or real-time data processing.
• Master's degree in a technical or analytical field.