.NET, Python Development

GFT Technologies

Pleno Developer at GFT utilizing .NET and Python for backend development. Involves API integrations, data processing, and collaborating in agile teams.

Posted 7/31/2026full-timeRemote • 🇧🇷 BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Proficient in .NET and Python, with a strong focus on developing and optimizing RESTful APIs and data processing pipelines using PySpark. Demonstrates expertise in ensuring solution quality, security, and scalability while collaborating effectively within agile teams.

Highest-signal resume keywords

.NET (C#)Python (PySpark)RESTful API DevelopmentData Processing and TransformationAgile Methodologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

.NET (C#)Python (PySpark)RESTful API DevelopmentData ProcessingSQLSystem IntegrationUnit TestingCI/CDMicroservices ArchitectureData Engineering

Soft Skills

CollaborationProblem-SolvingIncident AnalysisTroubleshooting

Tools & Technologies

GitDockerKubernetesAzureAWSGCPKafkaRabbitMQAzure Service BusDatabricks

Industry Keywords

Agile MethodologiesService-Oriented ArchitectureMedallion Architecture

Tech Stack

Tools & technologies

AWSAzureDockerGoogle Cloud PlatformKafkaKubernetes.NETPySparkPythonRabbitMQSQL

About the role

Key responsibilities & impact

Work with .NET and Python on a mid-level (Pleno) project.
Develop and optimize APIs and integrations.
Process and transform data with PySpark.
Ensure the quality and security of solutions.
Collaborate with multidisciplinary teams using agile methodologies.

Requirements

What you’ll need

Mid-level professional working with .NET and Python.
.NET (C#) and Python (PySpark);
Design, implement and optimize RESTful APIs and integrations between internal and external systems;
Develop data processing and transformation pipelines using PySpark;
Ensure the quality, performance, security and scalability of developed solutions;
Participate in defining technical architectures and development best practices;
Perform incident analysis and remediation, as well as troubleshooting in production environments;
Work collaboratively with Architecture, DevOps, Data, QA and Product Owner teams;
Take part in agile ceremonies, technical refinement sessions and code reviews;
Experience with Python, especially using PySpark for data processing.
Experience in developing and consuming RESTful APIs;
Knowledge of relational databases and SQL;
Experience with system integrations and service-oriented architecture;
Knowledge of version control using Git.
Experience with agile methodologies (Scrum and/or Kanban);
Experience with unit testing and software development best practices.
Nice to have: Knowledge of Databricks and Medallion Architecture;
Experience with cloud platforms (Azure, AWS or GCP);
Knowledge of messaging systems (Kafka, RabbitMQ, Azure Service Bus or similar);
Experience with Docker and Kubernetes;
Knowledge of Microservices Architecture;
Experience in Data Engineering or Analytics projects;
Knowledge of CI/CD and pipeline automation.

Benefits

Comp & perks

Multi-benefit card — choose how and where to use it.
Scholarships for undergraduate, postgraduate, MBA and language courses.
Certification incentive programs.
Flexible working hours.
Competitive salaries.
Annual performance review with a structured career plan.
Opportunity for international career development.
Wellhub and TotalPass.
Private pension plan.
Childcare assistance.
Health insurance.
Dental insurance.
Life insurance.