Data Engineer III – Fixed-Term

🕒 July 7

🇧🇷 Brazil – Remote

⏰ Full Time

🔴 Lead

🚰 Data Engineer

👻 Ghost score 24%

infoinfo

🗣️🇧🇷🇵🇹 Portuguese Required

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Logo of Grupo Boticário

Grupo Boticário

10,000+ employees

Founded 2010

🏭 Manufacturing

🍽️ Food & Beverage

💄 Beauty

Manufacturing • Food & Beverage • Beauty

Grupo Boticário is a leading Brazilian beauty company founded in 1977 that emphasizes innovation in beauty solutions while promoting love and inclusivity. The company offers a diverse portfolio of beauty products, including skincare, makeup, and wellness items, while also championing entrepreneurship and social impact through its foundation and various initiatives. Grupo Boticário is recognized for its commitment to sustainability, accessibility, and high-quality products, making it one of the largest beauty platforms in Latin America.

📋 Description

• Development and Innovation: Develop and maintain robust data pipelines for new initiatives, applying best practices for organization, optimization, and a strong engineering focus • Backend Modeling: Design and define data repository models (data lakes, data warehouses, relational and non-relational databases) for productionizing structured tables • Quality and Observability: Implement systems, routines, and data quality checklists to monitor, validate, and ensure the consistency and quality of datasets in collaboration with the business team • Consultative Interface: Gather technical and functional requirements directly from stakeholders and business partners (Credit, Collections, and Fraud), translating complex problems into efficient solutions • Coordination and Resolution: Proactively connect people to remove blockers and resolve incidents, ensuring end-to-end delivery without bottlenecks • DataOps and Documentation: Maintain technical and functional documentation of solutions using the company's standardized platforms, ensuring CI/CD is used to automate processes and participating in multidisciplinary ceremonies (360° view)

🎯 Requirements

• Proven Experience: Solid previous experience in data engineering, analytics engineering, or related areas with a backend focus, autonomy, and delivery orientation • Languages: Advanced proficiency in SQL and proficiency in Python (preferred) or another programming language • Data Architecture: Hands-on experience with Big Data, data warehousing, and scalable data modeling • Cloud Computing: Experience with cloud ecosystems, with an advanced focus on GCP (Google Cloud Platform) and its components (Composer, Cloud Run, Cloud Functions, Pub/Sub, BigQuery, and Bigtable) • Orchestration and Version Control: Knowledge of orchestration tools (e.g., Airflow, Composer) and version control (Git) • Data Culture: Experience with CI/CD pipelines, DataOps practices, and governance/data quality tools • Soft Skills: High adaptability to work across multiple financial business areas, proactive problem-solving, and concise communication to engage both technical and corporate audiences.

🏖️ Benefits

• Medical and dental plan • Medication assistance • Health allowance for family members • Free psychotherapy sessions • Telemedicine and second medical opinion • Free flu vaccination • Health and wellness programs • Meal voucher or local restaurant credit (depending on work model) • Food voucher • Holiday food voucher (Christmas) • Gym and fitness studio plan • Home office allowance (for hybrid and remote work models) • Pet health plan • Birthday day off • Up to 40% discount on our products • Employee membership benefits (agreements and partnerships, multi-brand store, TotalPass gyms, courses, and more!) • Travel and accommodation program • Childcare education assistance • Child nutrition credit • Babysitter allowance • School supplies allowance • Legal, psychological, and social counseling • Support for non-traditional parents • Extended parental leave (180 days for mothers and 120 days for fathers) • Transport voucher and parking (hybrid and on-site models) • Life insurance • Support in the event of parental bereavement • Private pension plan • Payroll-deductible loans

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