Senior Data Engineer (Scala)

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

Необхідні навички

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!

Клієнт

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.

Проєкт

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.

Вимоги

  • 5+ years of hands-on experience in software development and data engineering
  • Excellent knowledge of Java
  • Production experience with Databricks and Spark
  • Experience in building and maintaining an enterprise Data Lakes and/or Data Warehouses (preferably Snowflake)
  • Strong SQL skills and proven experience working with major database platforms
  • Understanding of AWS (IAM, S3, Security Groups) and Kubernetes
  • 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 and Scala
  • Experience with Apache Airflow
  • Experience with Flink

Обов'язки

  • 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

Чому ми

  • Різноманітність доменів та бізнесу
  • Великий вибір технологій
  • Медична та юридична підтримка
  • Круте та живе ком'юніті професiоналiв
  • Безперервна освіта та можливість росту
  • Гнучкий графік
  • Віддалена робота
  • Стильний та комфортний офіс (для твого комфорту вибору звiдки працювати)
  • Спортивні заходи та спільноти

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