Analytics Engineer, Mid-level

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ASAAS

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2010

🥽 AR/VR

📱 Media

🛍️ eCommerce

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.

📋 Description

• Build and optimize data models using dbt/SQL, following development best practices and governance. • Ensure data governance, quality, documentation, scalability, and business impact. • Participate in discussions with business teams to understand rules and requirements. • Work closely with software engineers to understand data structure, refresh frequency, limitations, business context, and technical specifics of data sources. • Implement data quality tests. • Monitor and maintain pipelines to ensure availability, performance, and integrity of data within your business domain. • Translate business needs into solutions aligned with data platform tools and strategies. • Provide support to the data team regarding the data platform and best practices. • Contribute to the development of Asaas's data platform.

🎯 Requirements

• Strong command of SQL. • Intermediate professional experience with dbt or a similar tool. • Experience with ETL/ELT processes. • Experience with data modeling and developing scalable analytical pipelines. • Experience with code versioning using GitHub. • Experience in data ingestion, transformation, and documentation projects. • Ability to solve technical and business problems with a systems-thinking approach. • Familiarity with agile methodologies, the Linux operating system, and querying APIs. • Basic knowledge of Python. • Nice-to-have: Experience with generative AI tools. • Prior experience in fintechs, payments, or the financial sector. • Experience with Databricks or cloud data platforms. • Degree in Data Analysis/Data Science, Computer Science, Information Systems, Engineering, Physics, Mathematics, or related fields.

🏖️ Benefits

• Health & well-being: We offer medical and dental plans with no co-pay, life insurance, financial assistance for medication purchases, and a subsidy for physical activities. Additionally, Neon is our partner for the team's financial health and Zenklub for mental and physical health (we provide 4 monthly sessions of therapy or nutritionist consultations free of charge). At the headquarters, we also offer quick massages. • Food & family: Our flexible meal benefit is provided via a Visa credit-style card; the balance can be used as each employee prefers. At headquarters, we have free food, and for families we offer childcare assistance, parental support programs, and extended maternity and paternity leave. • Education & growth: In addition to a challenging, development-focused environment, we provide an in-company training platform and education assistance that subsidizes 70% of tuition for degrees and language courses, as well as the purchase of courses and books to ensure continuous learning. • For quality remote work: We offer a Home Office allowance, work equipment, furniture assistance, and a partnership with WOBA so employees can use coworking spaces across Brazil when desired. • Extras: We offer a day off during the month of your birthday, Happy Hour allowance, referral bonuses for new hires, annual performance-based bonuses, a Stock Options plan, and a relaxed dress code in a light work environment.