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11 часов назад

Senior Data Engineer

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Data Engineer: Developing and maintaining large-scale Big Data solutions and data pipeline architectures with an accent on real-time data ingestion, processing, and lakehouse governance. Focus on designing scalable batch and streaming dataflows, optimizing distributed systems, and collaborating with engineering teams to deliver high-performance data-driven solutions.

Company

hirify.global is a global leader in Customer Experience Automation (CXA), building AI-first solutions that redefine how brands interact with their customers.

What you will do

  • Develop, deploy, and maintain Big Data solutions to power business operations.
  • Design batch and streaming dataflows for large-scale, fast-moving unstructured data.
  • Monitor dataflows and underlying systems to ensure scalability and reliability.
  • Collaborate with software engineering teams to deliver world-class data-driven solutions.
  • Maintain governance over the company's data lakehouse architecture.

Requirements

  • At least 4 years of relevant professional experience in data engineering.
  • Strong understanding of distributed computing principles and distributed systems.
  • Proficiency in Java, Kotlin, or Scala (Python developers willing to work on JVM are welcome).
  • Experience with messaging systems like Kafka, RabbitMQ, or ActiveMQ.
  • Experience with distributed processing engines such as Flink or Spark.
  • Strong written and verbal English communication skills.

Nice to have

  • Experience with NoSQL databases (MongoDB, Cassandra, ElasticSearch, Redis).
  • Knowledge of Lambda and Kappa Architectures.
  • Experience with containerization and orchestration (Docker, Kubernetes).
  • BS/MS degree in Computer Science, Applied Math, or related field.

Culture & Benefits

  • Inclusive and diverse work environment focused on empathy and acceptance.
  • Opportunity to work with a global leader in AI-driven customer experience.
  • Focus on autonomy and driving meaningful impact within the organization.
  • Collaborative culture that values diverse perspectives and innovation.

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