Whiz

Data Engineer in Whiz

Closed job - No longer accepting applications

Whiz es una empresa dedicada al asesoramiento y ejecuciĆ³n de proyectos de transformaciĆ³n digital. Brindamos los siguientes servicios:

  • DiseƱo y programaciĆ³n de pĆ”ginas webs y tiendas online
  • DiseƱo y programaciĆ³n de aplicaciones mĆ³viles multiplataformas hĆ­bridas y nativas
  • DiseƱo y programaciĆ³n de plataformas de gestiĆ³n interna
  • DiseƱo e implementaciĆ³n de procesos para la puesta en marcha de proyectos (estimaciĆ³n de costos, demanda, inversiĆ³n, retornos y viabilidad del mismo)
  • Mailing masivo para promociĆ³n de productos y/o servicios, con anĆ”lisis de impacto y tasa de apertura
  • CampaƱas de performance y conversiĆ³n para plataformas digitales
  • CreaciĆ³n e implementaciĆ³n de campaƱas y estrategias digitales
  • ImplementaciĆ³n de SEO y SEM

Responsibilities

We are looking for a Data Engineer to join our team! In this role, you will work within an engineering team to design and develop data processing platforms and software frameworks for Data Science, Engineering and Analytics organizations.

Most of the things youā€™ll work on:

  • Batch data processing systems
  • Batch and semi-real time revenue recognition event processing systems
  • Maintenance of the data lake and related access libraries that enable analytics
  • Write code to build new or modify existing ETLs (Spark+Scala).
  • Build new or modify existing DAGs (Airflow)
  • Investigate data discrepancies identified by external stakeholders
  • Run UAT activities and make changes as requested.
  • Be an active contributor in agile ceremonies that help the team plan and get work done: standup, backlog grooming, sprint planning, retrospectives, etc

Must Have

  • 3+ years of experience as a Data Engineer
  • Experience writing ETLs on big data platforms such as Airflow, Spark and Scala
  • Strong experience working with Scala
  • Knowledge of Apache Spark
  • Knowledge of AWS Infrastructure

Conditions

Fully remote You can work from anywhere in the world.

Remote work policy

Fully remote

Candidates can reside anywhere in the world.

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