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Keyrus

Senior Data Engineer – Azure

Keyrus

. Architect data engineering solutions on Azure and Databricks .

Posted 10/6/2026full-timeRemote • BrazilSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in architecting data engineering solutions using Azure and Databricks, with a strong focus on developing scalable data pipelines and ensuring data quality and security. Proficient in integrating diverse data sources and collaborating with stakeholders to deliver practical solutions that meet business needs.

Highest-signal resume keywords
Data EngineeringAzureDatabricksPythonETL/ELT Processes

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data EngineeringPythonPySparkSQLETL/ELT ProcessesNoSQL DatabasesDistributed ArchitecturesLarge-Scale Data ProcessingData IntegrationAgile Methodologies
Soft Skills
Excellent Communication SkillsAnalytical MindsetProblem-Solving
Tools & Technologies
Azure Data FactoryUnity CatalogAzure DevOps Test Plans
Industry Keywords
Data PipelinesProcess OptimizationData QualityData SecurityStakeholder Engagement

Tech Stack

Tools & technologies
AzureETLNoSQLPySparkPythonSQLUnity

About the role

Key responsibilities & impact
  • Architect data engineering solutions on Azure and Databricks
  • Develop, enhance, and maintain scalable, efficient, reliable, and high-performance data pipelines
  • Integrate data from different sources and systems
  • Contribute to process and pipeline performance optimization
  • Ensure the quality, security, availability, and accessibility of information
  • Build robust data solutions
  • Work with technical and non-technical stakeholders to transform business needs into practical solutions
  • Contribute to delivering value and results for clients and the business

Requirements

What you’ll need
  • Strong experience in Data Engineering
  • Experience with Azure, Databricks, Azure Data Factory, and Unity Catalog
  • Proficiency in Python, PySpark, and SQL
  • Knowledge of ETL/ELT processes
  • Knowledge of SQL and NoSQL databases
  • Knowledge of distributed architectures and large-scale data processing
  • Experience integrating data from different sources and systems
  • Experience with Azure DevOps Test Plans and Agile methodologies
  • Ability to ensure the quality, security, availability, and accessibility of information
  • Excellent communication skills with technical and non-technical audiences
  • Ability to transform business needs into practical and scalable solutions
  • Ability to influence decisions and build trusted relationships with stakeholders
  • Analytical, problem-solving mindset

Benefits

Comp & perks
  • Experience diversity and multiculturalism at Keyrus
  • Opportunity to work with people from different parts of the world and exchange knowledge and ideas
  • Collaboration, knowledge sharing, and continuous improvement
  • Development of expertise in data, AI, and human-centered decision-making
  • Projects and challenges across different industries, markets, and geographies