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 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

Originally posted on Himalayas