Engenharia de Dados (Databricks)

This is a senior-level Data Engineering opportunity focused on building and evolving scalable cloud-based data solutions.
You will work hands-on with Databricks and modern data technologies to transform complex requirements into robust technical solutions.
The role involves designing data pipelines, processing large volumes of information, and contributing to cloud data architecture.
You will have autonomy to propose improvements and help ensure that data platforms remain efficient, scalable, and sustainable.
Strong expertise in Python, PySpark/Spark, SQL, Delta Lake, and Lakehouse architecture will be central to your work.
You will also contribute to performance, governance, monitoring, orchestration, and the ongoing evolution of data solutions.
The environment encourages collaboration, continuous learning, innovation, and a strong focus on delivering meaningful business outcomes.

• Solid professional experience as a Senior Data Engineer.

• Strong hands-on expertise with Databricks and cloud-based data architecture.

• Proven experience designing, developing, and evolving data pipelines.

• Strong knowledge of ETL/ELT processes and large-scale data processing.

• Professional experience with Python and PySpark/Spark.

• Solid SQL skills.

• Experience with Delta Lake and Lakehouse architecture.

• Knowledge of Databricks Workflows/Jobs and data pipeline orchestration.

• Understanding of best practices related to performance optimization, data governance, monitoring, and solution maintenance.

• Hands-on and autonomous profile, with the ability to take ownership of technical challenges and drive solutions forward.

• Strong analytical and problem-solving skills, with a continuous improvement mindset.