BI Analyst, Python, Airflow

Job not on LinkedIn

31 minutes ago

🗣️🇧🇷🇵🇹 Portuguese Required

Apply Now
Logo of Qintess

Qintess

Enterprise • Artificial Intelligence • B2B

Qintess is a global technology and digital transformation company with roots in Brazil, serving clients across multiple countries. It provides enterprise IT services including SAP implementation and enablement, cloud and digital infrastructure, application development and modernization, low-code platforms, data analysis and decision science, AI-powered solutions, and customer-centered UX/UI design. Qintess works primarily with business and institutional clients to accelerate IT modernization, optimize operations, and integrate innovation such as AI platforms and digital twins.

📋 Description

• Define architecture and design robust ETL/ELT pipelines using Python. • Orchestrate data workflows using Apache Airflow or similar solutions. • Implement and maintain dimensional models to support analytics. • Lead and support the BI team in creating and evolving dashboards in Power BI and Superset. • Structure, optimize, and maintain the medallion architecture (bronze, silver, and gold). • Use GitLab CI/CD for automation, version control, and deployment of data pipelines. • Ensure data quality, governance, documentation, and traceability across the entire data lifecycle. • Collaborate with the BI team and technical areas to deliver scalable analytical solutions. • Act as a technical reference, promoting best practices in Data Engineering and BI.

🎯 Requirements

• Bachelor's degree in a technology-related field or a postgraduate degree. • Minimum of 5 years of experience as a BI Analyst, Data Analyst, or Data Engineer.

🏖️ Benefits

• Meal/Food allowance (Alelo). • Private health insurance (Notre Dame Intermédica | Hapvida) – employee monthly fee 100% covered; dependents covered at 50%; copayment assistance. • Dental plan (Amil) – employee monthly fee 100% covered; dependents covered at 50%. • Life insurance fully paid by the company. • Extended maternity and paternity leave. • Partnerships with higher education institutions and language schools offering discounts (for employees and direct dependents). • Agreements with pharmacies (Droga Raia and Drogasil) offering medication discounts (Univers - App). • Support for certifications (according to area of work). • Gympass | Wellhub. • Company-provided laptop. • Referral bonus for recommending professionals. • Internal relocation program.

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