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SysMap Solutions

Senior Data Engineer

SysMap Solutions

. Develop, implement, and support cloud-based data solutions and environments on Azure .

Posted 11/10/2026full-timeRemote • BrazilSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in developing and optimizing cloud-based data solutions on Azure, utilizing Python, SQL, and PySpark for data processing. Ensures data quality, security, and governance while leveraging best practices in data architecture and automation.

Highest-signal resume keywords
Python DevelopmentSQL ProficiencyAzure Databricks ExperienceData Governance KnowledgeMicrosoft Azure Data Engineer Associate Certification

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PySparkBig DataData Pipeline OptimizationDistributed ProcessingData Quality Assurance
Soft Skills
Team CollaborationAgile Methodologies
Tools & Technologies
Microsoft AzureAzure DevOpsHadoopHive
Certifications & Qualifications
Microsoft Azure Data Engineer Associate Certification (DP-203)
Industry Keywords
Data ArchitectureData SecurityData IntegrationCloud Data PlatformsPipeline Observability

Tech Stack

Tools & technologies
AzureHadoopPySparkPythonSQL

About the role

Key responsibilities & impact
  • Develop, implement, and support cloud-based data solutions and environments on Azure
  • Build, monitor, and optimize data pipelines, ensuring efficiency, scalability, and reliability
  • Use Azure Databricks and PySpark to process and transform large volumes of data
  • Work with distributed processing and the integration of multiple data sources
  • Ensure data quality, integrity, security, and governance in accordance with applicable policies and regulations
  • Identify opportunities to improve performance, automation, and data architecture
  • Evaluate new technologies, trends, and best practices in Data Engineering

Requirements

What you’ll need
  • Strong experience developing with Python, SQL, and PySpark
  • Knowledge of Big Data and distributed processing using technologies such as Hadoop and Hive
  • Experience with Microsoft Azure and Azure Databricks
  • Experience building, maintaining, and optimizing data pipelines in Azure environments
  • Knowledge of data governance, security, and quality
  • Familiarity with Azure DevOps and version control and continuous integration practices
  • Experience working on teams that use Agile methodologies
  • Microsoft Azure Data Engineer Associate certification (DP-203) — preferred
  • Experience optimizing performance and costs in Big Data environments — preferred
  • Knowledge of best practices in architecture, automation, and pipeline observability — preferred
  • Experience with projects involving the modernization and evolution of cloud data platforms — preferred

Benefits

Comp & perks
  • Employment under Brazil’s CLT labor regime
  • Meal voucher (VR)
  • Food allowance (VA)
  • Health insurance
  • Dental insurance
  • Life insurance
  • 100% remote work