Senior Data Engineer

At Nava, we believe in the power of technology to transform businesses — and we have a challenging and strategic opportunity waiting for you.

Come grow with us! 🚀

We are looking for a Data Engineer / Data Platform Specialist

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

Requirements and skills

• 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 – using 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, deployment automation, and code versioning.
• Advanced knowledge of Apache Spark for distributed data processing.
• Experience with Trino for federated queries and performance optimization in analytical environments.
• Hands-on experience with data engineering best practices, such as modeling, partitioning, governance, and information security.

Differentials

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

Interested? Apply for the position and take your technical interview with SophIA:

Link: SophIA

• Code: NAVA-ENGDADOSSR