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Data Engineer (EI Data)

Data Engineer (EI Data)

Huawei Telekomünikasyon Dış Ticaret LtdTR
30+ days ago
Job type
  • Quick Apply
Job description

We are currently looking for Mid-Senior Level Big Data Engineers to join our EI Data Team based in our Huawei Turkey R&D Center.

General Qualifications :

  • Bachelor or MSc degree in Computer Engineering or similar disciplines.
  • Min. 3-5 years’ experience for Mid and 6+ years experience for Senior Level are needed.
  • Proficiency in SQL - able to write structured and efficient queries on large data sets.
  • Experience in Unix / Linux Environments
  • Experience with Hadoop components like HDFS, Hive, Spark, Impala, etc.
  • Good in both written and spoken English
  • Candidate should not have an obstacle to travel abroad to overseas countries in customer offices.
  • Comfortable working in a dynamic, low-structure, constantly changing atmosphere and prioritizing work appropriately

Requirements

Big Data Implementation Engineer” Qualifications as a plus :

  • Experience in development, solution design, and delivery
  • Have big data POC experience, have some knowledge of multiple big data platforms in the industry, and have participated in large-scale project testing and delivery.
  • Experience in real-time stream or batch in big data development (Spark / MapReduce / Flink) with the Hadoop Ecosystem.
  • Have a solid Java, understand basic frameworks such as I / O, multi-thread, and collection, and have a certain understanding of JVM principles.
  • Have Java project development experience, proficient in JAVA language, J2EE architecture
  • Be familiar with Spring MVC, Spring Boot, MyBatis Framework for Java

    • Data Governance Engineer” Qualifications as a plus :

  • Have general knowledge of the concept of data governance
  • Be familiar with at least one data governance products.
  • Experience one or more development languages in Java / Scala / Python /
  • Experience in ETL Development
  • Experience identifying data anomalies or imperfections
  • Experience in data structures and schemas, data preparation, cleansing, and unification
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    Data Engineer • TR