Data Engineer – Azure, Databricks, Mid-level

Leega

full-time

Posted on: 1/15/2026

Location Type: Remote

Location: Brazil

✨ AI Apply

About the role

Perform data modeling by analyzing and structuring datasets to ensure proper relationships and adherence to industry best practices.
Handle special data by creating and managing equivalence tables, including specific cases such as “verticals”, aiming for greater standardization and efficiency.
Build pipelines that ensure full traceability from client file delivery through to loading into the Gold layer in Azure Databricks.
Identify opportunities for source-side automation to reduce reliance on manual files and increase efficiency.
Propose and implement efficient migration strategies, such as incremental loads, to avoid high costs from daily full loads.
Familiarity with code documentation.
Experience with agile methodologies.
Familiarity with developing process monitoring and alerts.
Ability to communicate technical solutions in a simple, pragmatic manner.
Proactive in supporting the team.

Experience with Azure Databricks, PySpark, Workflows, and SQL Warehouse.
Experience with Python for data engineering (file reading, transformations, and data ingestion).
Knowledge of relational and non-relational databases.
Databricks certification.
Experience with low-code ETL tools.
Experience with PySpark.

Benefits

Tip: use these terms in your resume and cover letter to boost ATS matches.

data modelingPySparkSQL WarehousePythonETLrelational databasesnon-relational databasesdata ingestiondata transformationsincremental loads

communicationproactiveteam support

Databricks certification