Senior Data Engineer (Scala)

Brazil Colombia Europe Europe (remote) Latin America Mexico Data Engineer Engineering Scala

Required skills

Scala / strong
SQL / strong
Databricks / good
English / strong

We are seeking a talented Data Engineer who is eager to learn and wants to join our experienced team.

This opportunity is for you if you want to work with a tightly knit team of Data Engineers solving challenging problems using cutting-edge data collection, transformation, analysis, and monitoring tools in the cloud.

Sounds interesting? Keep reading!

Customer

Our client has top-tier end-to-end technology, a premium marketplace, and best-in-market advisory services that power the advertising businesses of the world’s largest media and entertainment companies, including Fox, NBC Universal, Viacom in the USA, Sky, Channel 4, RTE, and Mediaset in Europe.

Project

We invite you to work with the provider of comprehensive ad platforms for publishers, advertisers, and media buyers. We build and support high-quality data solutions to process terabytes of data on AWS’s cloud-native data platform.

Requirements

  • 5+ years of hands-on experience in software development and data engineering
  • Excellent knowledge of Scala
  • Production experience with Databricks and Snowflake
  • Experience with Apache Airflow
  • Strong skills in SQL and proven experience working with major database platforms
  • Must be versatile and an inquisitive problem solver
  • Excellent communication and writing skills
  • At least an Upper-Intermediate level of English

Would be a plus:

  • Experience with Python or Java

Responsibilities

  • Hands-on development of ETL pipelines
  • Modify existing application code, interfaces, or develop new application components
  • Analyze requirements, support design, develop code, test, debug, deploy, and maintain programs and interfaces. Proper documentation of work is essential
  • Develop and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality
  • Conduct code and design reviews to ensure the product quality remains high
  • Mentor and provide guidance to colleagues and new team members
  • Collaborate with the Data Engineers and Product Managers to prioritize business needs and translate complex product requirements into working high-quality, cloud-native data solutions
  • Share knowledge with wider engineering teams by doing technical demos

WHY US

  • Diversity of Domains & Businesses
  • Variety of technology
  • Health & Legal support
  • Active professional community
  • Continuous education and growing
  • Flexible schedule
  • Remote work
  • Outstanding offices (if you choose it)
  • Sports and community activities

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