Data Engineer

Cadmus Soluções em TI

Data Engineer developing and maintaining data pipelines in Azure and Databricks. Contributing to quality and governance of data across corporate operations in a tech-focused company.

Posted 8/1/2026full-timeRemote • 🇧🇷 BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Proficient in developing and maintaining data pipelines on Azure and Databricks, with a strong focus on data governance, security, and privacy best practices. Experienced in gathering business requirements and implementing technical solutions while mentoring colleagues in data engineering.

Highest-signal resume keywords

SQL ProgrammingPython ProgrammingAzure Data FactoryDatabricks DevelopmentData Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PySpark ProgrammingETL DevelopmentData Pipeline MaintenanceRelational DatabasesNoSQL DatabasesBig Data FundamentalsDistributed ProcessingAgile MethodologiesVersion Control (Git)Data Validation

Soft Skills

MentoringCollaborationProblem-Solving

Tools & Technologies

Azure Data LakeCloud Big Data Platforms

Industry Keywords

Data Governance ConceptsLGPD Compliance

Tech Stack

Tools & technologies

AzureETLNoSQLPySparkPythonSQL

About the role

Key responsibilities & impact

Develop and maintain data pipelines on cloud big data platforms.
Gather business requirements and implement technical solutions on Azure and Databricks.
Build and support data engineering pipelines on Azure and Databricks platforms.
Elicit and analyze business requirements from different areas of the organization for ongoing requests.
Execute tests and validations on pipelines and data systems for medium- and high-complexity projects.
Monitor the performance of cloud big data systems.
Support implementation of quality, security, privacy and data governance best practices across all projects.
Participate in migration projects and implementation of enterprise data solutions.
Create and maintain technical documentation for pipelines, processes and implemented data solutions.
Troubleshoot and assist in resolving technical issues in data systems.
Mentor less-experienced colleagues and support other departments with data engineering-related matters.

Requirements

What you’ll need

Programming languages: SQL, Python and PySpark;
Microsoft Azure platform (Data Factory, Databricks, Data Lake);
Development and maintenance of data pipelines (ETL/ELT);
Relational and NoSQL databases;
Fundamentals of big data and distributed processing;
Agile methodologies (Scrum, Kanban);
Version control (Git);
Data governance concepts and LGPD (Brazilian Data Protection Law).

Benefits

Comp & perks

Meal and/or food allowance (iFood Benefícios)
Health insurance (Amil)
Life insurance
Dental care (Amil)
Fuel allowance
Gympass/Wellhub: Access to gyms with a variety of workout modalities.
Pet health insurance
Childcare assistance
Lincard: Partner benefits club with discounts of up to 60% at over 4,000 establishments in Brazil.