Data Engineer – Mid-level

Cadmus Soluções em TI

Data Engineer responsible for developing, maintaining, and optimizing ETL/ELT processes across SQL Server and Spark. Collaborating with teams to ensure data quality and integrity in Brazil.

Posted 7/8/2026full-timeSão Paulo • 🇧🇷 BrazilMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

CloudETLGoogle Cloud PlatformNoSQLPySparkPythonSparkSQL

About the role

Key responsibilities & impact

Develop, maintain and optimize ETL/ELT processes across different platforms (SQL Server, Spark, NoSQL)
Migrate routines and data loads from SQL Server to Spark (PySpark)
Develop scripts and automations in Python
Model and structure data according to governance and performance best practices
Work together with architects, analysts and testers to ensure data quality and integrity
Support data migration and modernization initiatives in cloud environments (GCP)

Requirements

What you’ll need

Proficiency in ANSI SQL
Data modeling and relational database design
Experience with SQL Server and Spark (PySpark)
Knowledge of Python and NoSQL
Understanding of ETL/ELT concepts and data engineering best practices
Experience with GCP
Strong verbal and written communication skills and analytical problem-solving ability
Experience with BI tools, especially Qlik (QlikView, Qlik Sense or Qlik Cloud)

Benefits

Comp & perks

Hybrid work arrangement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

ANSI SQLETL/ELT ConceptsData Engineering Best PracticesNoSQLData MigrationData Quality AssuranceData GovernancePerformance OptimizationBI Tools (QlikView, Qlik Sense, Qlik Cloud)Automation Scripting

Soft Skills

Strong Verbal CommunicationStrong Written CommunicationAnalytical Problem-Solving