ASAAS
AR/VR • Media • eCommerce
ASAAS is a leading producer of 360° virtual tours in virtual reality. The company specializes in creating customized virtual tours, utilizing advanced technologies, including 360° video, drone technology, and interactive features, to enhance business visibility and engagement. With a commitment to quality and customer satisfaction, ASAAS offers immersive experiences for various industries, including schools, hotels, museums, and healthcare facilities, and aims to elevate online presence through innovative virtual solutions.
Analytics Engineer, Mid-level
Job not on LinkedIn
November 3
🗣️🇧🇷🇵🇹 Portuguese Required
ASAAS
AR/VR • Media • eCommerce
ASAAS is a leading producer of 360° virtual tours in virtual reality. The company specializes in creating customized virtual tours, utilizing advanced technologies, including 360° video, drone technology, and interactive features, to enhance business visibility and engagement. With a commitment to quality and customer satisfaction, ASAAS offers immersive experiences for various industries, including schools, hotels, museums, and healthcare facilities, and aims to elevate online presence through innovative virtual solutions.
đź“‹ Description
• Develop dbt/SQL models for Asaas's data platform • Promote and maintain the efficient and secure transformation of our data assets • Ensure data governance, quality, documentation, scalability, and business impact • Raise awareness of efficient and secure data consumption • Ensure the development and maintenance of data assets • Monitor the performance and outcomes of the data pipeline
🎯 Requirements
• Basic knowledge of Python • Professional proficiency in SQL • Intermediate professional experience with dbt • Experience with ETL/ELT processes • Experience with code versioning using GitHub • Familiarity with agile methodologies, the Linux operating system, and API consumption • Experience in fintechs, the payments industry, or other financial institutions • Knowledge of database architecture and modeling techniques for analytical purposes • Degree in Data Analysis/Data Science, Computer Science, Information Systems, Engineering, Physics, Mathematics, or related fields
🏖️ Benefits
• Medical and dental plans with no co-pay • Life insurance • Medication purchase assistance • Subsidy for physical activity • Neon as a partner for supporting the team's financial health • Zenklub for physical and mental health (we offer 4 free monthly sessions with a therapist or nutritionist) • Quick massages available at headquarters • Flexible meal benefit via a Visa credit card • Free food available at headquarters • Family benefits including childcare assistance, a parental support program, and extended maternity and paternity leave • In-company training platform and opportunities for professional development • Education assistance subsidizing 70% of undergraduate and language tuition, as well as course and book purchases • Home office allowance, work equipment, and furniture assistance • Partnership with WOBA to access coworking spaces across Brazil • Day off during your birthday month • Happy Hour allowance • Referral bonus for new hires • Bonus based on annual goals • Stock option plan • Casual, relaxed environment (no dress code)
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