Senior Data Engineer

  • Data
  • São Paulo, São Paulo

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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.

About Us 
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.

About You
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.

Your Mission
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

Desired Skills and Expected Qualifications

  • Solid foundation in computer science and fluency at applying it to practical problems.
  • Good knowledge of a modern programming language. Ex. Python, Scala, etc.
  • Design and operations on Distributed Systems and Data Warehouses: Hadoop, Spark, Presto, Redshift.
  • Practical knowledge of Object Stores or Distributed File Systems. Ex. S3, Google Cloud Storage, HDFS, etc. 
  • Practical knowledge of Data formats. Ex. JSON, Parquet, Avro, etc. 
  • Experience with Dimensional Database Modeling. 
  • Experience with ETL tools. Ex. Airflow, Luigi, Nifi, DBT, etc. 
  • Deep knowledge of Relation Algebra, including performance optimizations. Ex. SQL,   HQL, Spark, Pandas.
  • Experience with open standards and open source technologies.
  • Experience with cloud computing, as well scalability and performance problems. 
  • Experience with Unix environments. 
  • Deep understanding of agile principles and their practical applications. 
  • Naturally self-driven collaborator
  • Preferred Qualifications

  • BS or MS degree in Computer Science, Software Engineering, Applied Math or related discipline.
  • Team coaching and technical leadership.
  • Working experience with BigData.
  • Experience with applied machine learning.
  • Practical knowledge of functional programming.
  • Knowledge about business rules
  • Benefits

  • Autonomy to solve hard challenges
  • Fun atmosphere
  • Public transportation and meal allowance
  • Health and dental insurance
  • Gym allowance
  • Home office
  • Partnership with SESC
  • Free beer every day
  • Competitive salary package
  • Working with top minds in the industry
  • Out of state relocation assistance
  • Choose your own setup (OS, laptop, monitor, etc)
  • Education allowance
  • English classes