Avanade
10,000+ employees
Founded 2000
☁️ SaaS
🤝 B2B
🏢 Enterprise
SaaS • B2B • Enterprise
Avanade is a provider of cloud-based link management and digital connection tools, offering URL shortening, QR code generation (including dynamic and GS1 Digital Link support), mobile-friendly landing pages, link analytics, and APIs and integrations to manage and track customer interactions at scale. The platform targets businesses of all sizes with features like branded links, UTM campaign tracking, digital business cards, and enterprise-grade security and compliance, enabling marketing, developer, and customer service teams to create, customize, and analyze connections across channels.
Senior Data Engineering Analyst – Python, PySpark
🕒 April 18
🗣️🇧🇷🇵🇹 Portuguese Required
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Avanade
10,000+ employees
Founded 2000
☁️ SaaS
🤝 B2B
🏢 Enterprise
SaaS • B2B • Enterprise
Avanade is a provider of cloud-based link management and digital connection tools, offering URL shortening, QR code generation (including dynamic and GS1 Digital Link support), mobile-friendly landing pages, link analytics, and APIs and integrations to manage and track customer interactions at scale. The platform targets businesses of all sizes with features like branded links, UTM campaign tracking, digital business cards, and enterprise-grade security and compliance, enabling marketing, developer, and customer service teams to create, customize, and analyze connections across channels.
📋 Description
• Develop and maintain data solutions using Python and PySpark. • Work on the construction, evolution and support of ETL processes, ensuring data quality, reliability and consistency. • Perform transactional and multidimensional data modeling to support analytical and operational needs. • Create, optimize and maintain queries using SQL. • Contribute to the definition and implementation of software architecture for data solutions. • Use GitHub for code versioning and team collaboration. • Plan, develop and execute tests to ensure the quality of deliveries. • Collaborate closely with technical and business areas throughout the solution development lifecycle.
🎯 Requirements
• Solid experience in Data Engineering. • Proficiency in Python and PySpark for data processing. • Experience with ETL processes. • Knowledge of transactional and multidimensional data modeling. • Strong experience with SQL. • Experience with version control using GitHub. • Experience in planning and executing tests for data and pipelines. • Experience defining architecture for data solutions (preferred). • Certifications related to data, cloud or software engineering (preferred). • Technical English for reading and communication in global projects (preferred).
🏖️ Benefits
• Meal or food allowance • Multi-benefits card up to Senior Consultant level • Health and dental insurance • Certifications and training • Life insurance • Private pension plan • Avababy: pregnancy support and a welcome kit for new Avanade parents • Company profit-sharing • Wellhub • Childcare assistance • Career Advisor – career mentoring • Birthday Off policy on your birthday • Well-being sessions • For managerial positions or above – company car, parking and fuel allowance
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