
51 - 200 employees
Founded 2005
💼 Consulting
📣 Marketing
📦 Logistics
Consulting • Marketing • Logistics
Five Acts is a company specialized in building and evolving data platforms using modern technologies and cloud architecture. Through their accelerators and processes, they create data products that deliver value swiftly for businesses. Five Acts focuses on data engineering, analytical intelligence, and machine learning to help companies harness the power of their data, transforming it into actionable insights. With over 300 clients and a strong track record of completed projects, Five Acts is dedicated to helping organizations improve through effective data strategies.
Likely ghost job
🕒 June 5
🗣️🇧🇷🇵🇹 Portuguese Required
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51 - 200 employees
Founded 2005
💼 Consulting
📣 Marketing
📦 Logistics
Consulting • Marketing • Logistics
Five Acts is a company specialized in building and evolving data platforms using modern technologies and cloud architecture. Through their accelerators and processes, they create data products that deliver value swiftly for businesses. Five Acts focuses on data engineering, analytical intelligence, and machine learning to help companies harness the power of their data, transforming it into actionable insights. With over 300 clients and a strong track record of completed projects, Five Acts is dedicated to helping organizations improve through effective data strategies.
• Design, build, and maintain the Internal Development Platform (IDP) • Develop and evolve standardized, reusable CI/CD pipelines • Manage and scale cloud infrastructure (AWS, Azure, or GCP) • Create and maintain clear technical documentation • Design and lead the implementation of enterprise data architecture • Define and enforce data modeling standards • Establish policies for data governance, data quality, security, access control, and compliance • Evaluate, select, and integrate new tools and technologies for the modern data stack • Optimize performance and costs for large-scale data processing
• Proven experience in Data Engineering and Data Architecture • Knowledge of data modeling, relational databases, and NoSQL • Distributed processing (Spark) • Experience with data orchestration and transformation tools • Experience with public cloud architecture (AWS, Azure, or GCP) • Infrastructure as Code (Terraform) • Programming/scripting skills (Python, Go, or Bash) • Familiarity with observability concepts • Experience with modern data engineering platforms (Databricks, Airflow) • Strong communication skills
• Remote work • Mental health coverage – online and in-person therapy • Support for certifications and training courses • Partnerships for postgraduate and MBA programs (ESALQ/USP) • Partnerships with language schools • Partnerships with gyms and wellness apps (Wellhub) • Internal talks and discussion groups • Referral bonus • Happy hours • Gifts on special occasions
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