Senior Data Engineer – Azure Cloud

FCamara Consulting & Training

Engenheiro de Dados SR atuando na construção e sustentação de pipelines de dados em Azure. Contribuindo para soluções escaláveis e eficientes em projetos de Data & AI.

Posted 7/16/2026full-timeRemote • 🇧🇷 BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and optimizing scalable data pipelines using Python, Apache Spark, and Apache Airflow, while ensuring high-quality solutions in cloud environments like Microsoft Azure. Proficient in CI/CD practices, Docker, and data transformation with dbt, with a strong focus on performance and data governance.

Highest-signal resume keywords

Python DevelopmentApache SparkApache AirflowCI/CD PracticesDocker

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentData Transformation with dbtYAML/YML ConfigurationCloud EnvironmentsData Governance

Soft Skills

CollaborationCommunication

Tools & Technologies

Microsoft AzureDockerApache AirflowApache SparkCI/CD

Industry Keywords

Data LakeData WarehouseLakehouse ArchitectureObservabilityMonitoring

Tech Stack

Tools & technologies

AirflowApacheAzureCloudDockerPythonSpark

About the role

Key responsibilities & impact

Develop, maintain and optimize scalable data pipelines
Work with distributed processing using Apache Spark
Orchestrate workflows and data routines with Apache Airflow
Develop solutions in Python following engineering best practices
Operate in cloud environments, especially Microsoft Azure
Create and maintain deployment pipelines using CI/CD practices
Work with configuration and automation files in YAML/YML
Use Docker for containerization of applications and services
Develop, test and document data transformation models with dbt
Collaborate with engineering, analytics and business teams to ensure solution quality, reliability and performance
Support technical decisions related to architecture, performance, observability and data governance

Requirements

What you’ll need

Advanced English is a mandatory requirement
Experience with Azure and data-related services
Solid knowledge of Python
Experience with Apache Spark
Experience with Apache Airflow
Experience with CI/CD practices
Experience with development and configuration using YAML/YML
Knowledge of Docker
Experience with dbt for data transformation and modeling
Familiarity with code versioning, testing, documentation and development best practices
Experience in consulting projects (a plus)
Knowledge of lakehouse architecture, data lake or data warehouse (a plus)
Experience with Databricks, Azure Data Factory, Synapse or Fabric (a plus)
Knowledge of observability, monitoring and data quality (a plus)
Experience with critical production environments and high-volume pipelines (a plus)

Benefits

Comp & perks

Position also open to candidates with disabilities