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
Apply Now