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Lefosse

Data Engineer – Integration and Data for AI

Lefosse

. Develop, implement, and maintain data pipelines, ETL/ELT processes, and integrations between enterprise systems.

Posted 11/4/2026full-timeSão Paulo • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in developing and maintaining data pipelines and ETL/ELT processes using Python and SQL, while ensuring data quality and security. Proficient in Azure Data Factory and Databricks, with a strong understanding of Data Lake architecture and integration solutions.

Highest-signal resume keywords
Data EngineeringETL/ELT ProcessesPython ProgrammingAzure Data FactorySQL Server

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data Pipeline DevelopmentSQLPythonETL ProcessesData IntegrationData Lake ArchitectureAzure DatabricksREST APIsVersion ControlAgile Methodologies
Tools & Technologies
Azure DevOpsGitCI/CD PipelinesMicrosoft FabricApache Spark
Industry Keywords
Data QualityData GovernanceData ObservabilityArtificial IntelligenceAutomation

Tech Stack

Tools & technologies
ApacheAzureETLOraclePySparkPythonSparkSQL

About the role

Key responsibilities & impact
  • Develop, implement, and maintain data pipelines, ETL/ELT processes, and integrations between enterprise systems.
  • Develop data engineering solutions using Python, SQL, Azure Data Factory, and Databricks.
  • Contribute to the evolution of the Data Lake/Lakehouse architecture and the Microsoft Fabric platform.
  • Integrate data from multiple sources, including databases, APIs, and enterprise systems.
  • Ensure data quality, integrity, security, and availability.
  • Apply development best practices, including documentation, version control, testing, and monitoring.
  • Collaborate with technical teams and business areas to build solutions for Analytics, Automation, and Artificial Intelligence.

Requirements

What you’ll need
  • Bachelor’s degree in Information Technology, Engineering, or a related field.
  • Experience in data engineering, pipeline development, and ETL/ELT processes.
  • Advanced SQL knowledge and experience with relational databases such as SQL Server and Oracle.
  • Experience using Python for data processing, automation, and integrations.
  • Practical knowledge of Azure Data Factory and/or Azure Databricks.
  • Experience with REST APIs, system integration, and Data Lake/Lakehouse architecture.
  • Experience with Azure DevOps, Git, code version control, and CI/CD pipelines.
  • Knowledge of development best practices and Agile methodologies.
  • Preferred: experience with Microsoft Fabric, OneLake, and semantic models.
  • Preferred: knowledge of Apache Spark/PySpark.
  • Preferred: experience with integration platforms (APIPASS), such as Skyone Studio, or equivalent tools.
  • Preferred: knowledge of data governance, quality, and observability.
  • Preferred: familiarity with preparing and integrating data for Artificial Intelligence solutions.

Benefits

Comp & perks
  • Health Insurance
  • Meal Voucher
  • Life Insurance
  • Wellhub (Gympass)
  • Childcare Assistance
  • Transportation Voucher / Parking
  • Profit-Sharing Bonus
  • Hybrid work model
  • Short Fridays
  • Birthday Day Off
  • Education Allowance
  • Expense allowance (for hybrid or fully remote positions)
  • Equipment purchase allowance (for hybrid or fully remote positions)