
501 - 1000 employees
Founded 2000
🛍️ eCommerce
📣 Marketing
☁️ SaaS
eCommerce • Marketing • SaaS
Cadastra is a leading digital performance and marketing solutions company in Latin America. They specialize in integrated strategies that combine marketing, technology, and data to help businesses grow exponentially. With over 25 years of experience, Cadastra empowers brands through services such as conversion optimization, media services, CRM and customer experience solutions, data analytics, and cloud services, catering to both B2C and B2B sectors.
🔥 6 minutes ago
🗣️🇧🇷🇵🇹 Portuguese Required
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501 - 1000 employees
Founded 2000
🛍️ eCommerce
📣 Marketing
☁️ SaaS
eCommerce • Marketing • SaaS
Cadastra is a leading digital performance and marketing solutions company in Latin America. They specialize in integrated strategies that combine marketing, technology, and data to help businesses grow exponentially. With over 25 years of experience, Cadastra empowers brands through services such as conversion optimization, media services, CRM and customer experience solutions, data analytics, and cloud services, catering to both B2C and B2B sectors.
• Build and evolve data pipelines and solutions, from ingestion and processing through modeling and delivery to the business • Refine and document prioritized initiatives with business teams by gathering requirements, needs, and dependencies • Develop and maintain data pipelines using ETL/ELT strategies • Build and evolve the data platform across the Raw, Trusted, and Refined layers, ensuring quality, reliability, and scalability • Model tables and data structures based on business rules, structuring the semantic layer for analytical and strategic consumption • Create and evolve storage and processing solutions across Data Lake/Lakehouse architectures, relational databases, and non-relational databases • Develop integrations between processed data and external tools or applications, such as Google Apps Script • Create, prototype, and validate dashboards and visualization solutions in partnership with business teams • Work with analysts and stakeholders to translate business needs into efficient and sustainable data solutions • Collaborate in alignment sessions, meetings, and ceremonies with clients and business teams • Explore new technologies and contribute to initiatives involving Artificial Intelligence applied to data
• Solid experience in Data Engineering • Strong knowledge of SQL and Python • Experience with Data Engineering in cloud environments, preferably GCP (Google Cloud Platform) • Hands-on experience with BigQuery, Cloud Storage, and Cloud Functions • Knowledge of Cloud Run, Artifact Registry, Docker, Dockerfiles, and CI/CD • Experience building and maintaining data pipelines, with knowledge of the medallion architecture (Raw, Trusted, and Refined) • Knowledge of Data Lake/Lakehouse, data modeling, and best practices for storage, processing, and loading • Experience with data workflow orchestration tools such as Airflow, Luigi, Kubeflow, or similar platforms • Experience with agile methodologies and task management tools, preferably Jira • Strong communication skills and the ability to translate business needs into technical solutions • Curiosity, adaptability, and an interest in new technologies, with availability to work on initiatives related to Artificial Intelligence • Preferred: experience with data visualization tools and dashboard development • Preferred: experience integrating data platforms with external applications • Preferred: experience working on projects involving Artificial Intelligence applied to data
• Meal and food allowance on the FLASH card • Home office allowance on the FLASH card • Health insurance according to your location • Dental insurance according to your location • Birthday day off + an amount deposited onto the FLASH card • Extended maternity and paternity leave • Profit-sharing plan (PLR) • Life insurance • Childcare assistance • Referral bonus • Transportation allowance • Clude | Healthcare Platform • TotalPass • Partnership with FECAP – 10% to 20% discounts on undergraduate, graduate, MBA, and master’s degree programs
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