Cloud Data Engineer Specialist

5 dni temu


Katowice, Silesia, Polska Reply Polska Sp. z o. o. Pełny etat

Job Summary

We are looking for a highly skilled Big Data Transformation Expert to join our team at Data Reply. The successful candidate will have experience in designing and implementing big data solutions using various technologies.

Key Responsibilities

  • Design and implement big data solutions using technologies such as Apache Hadoop, Spark, Kafka, and Flink
  • Develop and maintain pipelines for data transformation, integration, and ETL processes
  • Monitor, tune, and optimize data applications and database performance
  • Provide expert advice and consultancy services to clients on data strategies and architecture choices
  • Assist in developing analytics platforms and business intelligence solutions
  • Work closely with clients to understand their business needs and technical requirements

Requirements

  • Bachelor's or master's degree in CS, Engineering, IT, or a related field
  • Very good knowledge of English and Polish
  • Strong programming skills in languages such as Java, Scala, or Kotlin
  • Familiarity with big data frameworks and tools like Apache Hadoop, Spark, Kafka, Flink, or others
  • Familiarity with data modeling and warehousing techniques
  • Strong analytical skills and ability to analyze complex data structures
  • Excellent communication skills and ability to collaborate with team members and clients
  • Problem-solving skills and ability to propose creative, efficient solutions to complex problems

Benefits

  • Language Courses – access to a multi-language learning platform enabling you to practice your language skills and learn new ones
  • Regular and systematic further training opportunities from external providers
  • Coooperation within an internal community including networking events and company parties

About Data Reply

Data Reply offers a wide range of services to help customers become data driven. Our experts focus on the development of Streaming and Event-Driven applications, Data Platforms, and Machine Learning solutions - automated, efficient, and scalable - without compromising IT security.



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