Senior Data Engineer – Azure Cloud

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FCamara Consulting & Training

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🛍️ eCommerce

🤖 Artificial Intelligence

Consulting • eCommerce • Artificial Intelligence

FCamara Consulting & Training is a Brazilian multinational firm specializing in digital transformation and consulting services. With over 17 years in the market, FCamara's ecosystem focuses on innovation, e-commerce, digital strategy, and the integration of technology solutions such as artificial intelligence and cybersecurity. The company collaborates with a variety of sectors including retail, healthcare, finance, and logistics, empowering more than 1,000 businesses to evolve in the digital realm.

📋 Description

• 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

• 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

• Position also open to candidates with disabilities