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Senior DE (ETL, Go, Databricks)

3 500$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
India
Вакансия от Hirify. Размещена напрямую Вакансия размещена на Hirify напрямую от HR/нанимающего менеджера

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Описание вакансии

Senior DE (ETL, Go, Databricks) India
 Spoken languages: English- Upper-Intermediate
 Working time zone: EU but team is from EU, Japan and USA
 Salary 3500$ net
 Company: Client from Fortune-500
 
 Our Client is one of the TOP-3 global management consulting firms considered to be among the most prestigious ones in the world. Hundreds of customers from Fortune-500, including the largest global financial institutions, the world’s top media companies, technology companies and federal government agencies rely on our Client’s proven platform and services.
 
 The project is a dynamic solution empowering companies to optimize promotional activities for maximum impact. It collects and validates data, analyzes promotion effectiveness, plans calendars, and integrates seamlessly with existing systems. The tool enhances vendor collaboration, negotiates better deals, and employs machine learning to optimize promotional plans, enabling companies to make informed decisions and maximize return on investment.
 
 
 Responsibilities:

  •  Experience in Scala and/or Go, designing and building scalable high-performing applications + 
  •  Experience in containerization and microservices orchestration using Docker and Kubernetes
  •  Experience in building data pipelines and ETL solutions using Databricks
  •  Experience in data storage and retrieval with PostgreSQL and Elasticsearch
  •  Experience in deploying and maintaining solutions in the Azure cloud environment
  •  Prefer problem solving style over experience
  •  Ability to clarify requirements with the customer 

 
 Tasks:

  •  Develop and maintain distributed systems using Scala and/or Go
  •  Work with Docker and Kubernetes for containerization and microservices orchestration
  •  Build data pipelines and ETL solutions using Databricks
  •  Work with PostgreSQL and Elasticsearch for data storage and retrieval
  •  Deploy and maintain solutions in the Azure cloud environment

 

Your recruiter Olga🤍
 

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