Mid-Level Data Engineer

We are looking for a Data Engineer / Data Platform Specialist

The professional must have solid experience in data platforms, capable of working on the construction, maintenance, and monitoring of pipelines in a cloud environment, with a focus on performance, scalability, and governance.

Main technical competencies:

• Solid experience in cloud data environments, with a focus on AWS (Amazon Web Services) — services such as S3, Glue, EMR, Redshift, Lambda, among others.
• Experience with Databricks, including development and optimization of notebooks, jobs, and integration with other tools in the data ecosystem.
• Knowledge and application of observability in data pipelines – use of monitoring, logging, tracing, and alerting tools to ensure data quality and reliability.
• Ability to create and maintain reusable templates and frameworks for data pipeline orchestration.
• CI/CD practices for data, automation of deployments and code versioning.
• Experience with data engineering best practices, such as modeling, partitioning, governance, and information security.

Desirable differentials:

• AWS or Databricks certifications.
• Experience in high-volume data environments (big data).
• Knowledge in Apache Airflow, dbt, Spark, or other transformation and orchestration tools.
• DevOps/DataOps mindset.

In addition to being a Great Place to Work certified company, you will find at NAVA:

✅ Career opportunities 🚀

✅ Freedom to write your own code 🏆

✅ Diversity and different ways of seeing the world 🌈

✅ Communities that encourage everyone's growth 📚

✅ In-house training 💻

✅ An incredible team 😎 ✅ Company engaged in the UN Global Compact 💪🏼

✅ Innovative projects 💡

✅ High rating on Glassdoor 📣