Join NAVA 🚀

Here, technology and people move forward together. Our teams are made up of creative, collaborative people passionate about turning data into strategic solutions that impact major companies in the country and around the world.

Position: Senior Data Engineer

Work on strategic projects focused on building and evolving modern data solutions in a cloud environment, working with scalable architectures, integrations, and high-performance pipelines.

Main stack:

Python + PySpark | Databricks | Apache Spark | Azure / AWS | Kafka / Event Hub / Kinesis | Kubernetes | Airflow | Advanced SQL | CI/CD | Data Lake / Lakehouse

Requirements:

• Experience with Azure or AWS cloud

• Databricks and Apache Spark

• Python and PySpark

• Batch and streaming processing

• Pipeline orchestration (Airflow, Control-M, or similar)

• CI/CD, Git, and versioning

• Messaging (Kafka, Event Hub, or Kinesis)

• Advanced SQL and query optimization

• Kubernetes

• Experience with agile methodologies (Scrum / SAFe)

Differentiators:

• Experience in the financial sector

• Knowledge in Cards, Debit, or Loyalty programs

• Cloud certifications

• Experience with Data Mesh and event-driven architectures

• Knowledge in AI applied to routine automation

Employment details:

Hybrid model (3 days in-office)

Santo Amaro – São Paulo/SP

Standard CLT benefits:

• Transportation voucher, meal voucher, profit sharing, health plan, and dental plan

Beyond traditional benefits, care here goes beyond the professional:

• Extended health and dental plans for dependents.

💡 We are looking for professionals with a collaborative profile, analytical mindset, and experience in modern and scalable data environments.