Data Engineer (EI Data)

We are currently looking for Mid-Senior Level Big Data Engineers to join our EIData 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 EnvironmentsExperience with Hadoop components like HDFS, Hive, Spark, Impala, etc.Good in both written and spoken EnglishCandidate 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 appropriatelyRequirements“Big Data Implementation Engineer” Qualifications as a plus:Experience in development, solution design, and deliveryHave 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 architectureBe 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 governanceBe familiar with at least one data governance products.Experience one or more development languages in Java/Scala/Python/Experience in ETL DevelopmentExperience identifying data anomalies or imperfectionsExperience in data structures and schemas, data preparation, cleansing, and unificationOriginally posted on Himalayas

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