- São Paulo, São Paulo
Founded in 2013 by two American entrepreneurs, Escale is a rapidly growing customer acquisition company located in São Paulo, Brazil. We use data and technology to deliver more intelligent and optimized buying experiences to consumers. We manage the end-to-end sales funnel for big brands in industries such as telecom, healthcare and education with a simple thesis: the best sales strategy is to deliver an amazing buying experience to end users.
With recent investments from top VCs such as Kaszek Ventures, Global Founders Capital and Redpoint e.Ventures, we are expanding our engineering and data teams to develop a world class customer acquisition platform.
We dream big and constantly focus on the customer, knowing that what we do today are the building blocks for the greater future. We have a highly diverse culture and intend to keep it that way, respecting everyone regardless of their age, sex, skin color, country of origin, sexual orientation or experience level. We put deep understanding of agile values, above specific processes and methodologies. We make decisions based on data and are highly results oriented. Our culture resembles a sport team more than a family, where trust and respect are earned by winning hard battles together.
As a Data Engineer at Escale, you will be responsible for evolving and maintaining a Data Platform Architecture that empower our teams to Store, Transform and Retrieve valuable information through top notch technologies. Our platform aims the State-of-The-Art architectures of the market (Kappa and Lambda) and we are currently moving towards real-time processing and a machine learning platform. On a daily basis, you will be working highly scalable, distributed and fault tolerant systems that focus on analytical processing. We also encourage the use of open source technologies, such as Kafka, Kubernetes, Airflow, Amundsen, as well as giving back to the community by contributing on open source projects.
Our mission is to build a world-class data platform to bring value out of data for us. Our goal is to democratize data, support the growing business and provide analytics self-service tools for developers and consumers