BIG DATA DEVELOPER / ISTANBUL

Founded in 2004, Etiya is a leading catalog driven order management solution provider, mainly a software company. Etiya designs, develops, and implements Business and Operation Support Systems (BSS/OSS) and conducts large-scale systems integration. Etiya’s transformational products are certified with the TM Forum Frameworx, which means they are industry tested, open, and future proof. The TM Forum has nominated Etiya’s implementations for the prestigious “Solution Excellence” awards - in 2012, in 2013, and in 2014. And in 2015 Etiya won the “Solution Excellence” (Customer Centricity Service Provide) award with its “Catalog Driven Order Management” product.
Through comprehensive solutions in the fields of Telecommunication, Media, Utilities, Information Service Providers, Etiya has helped companies gain competitive advantage by offering business systems and applications as well as other transformational products, such as:

•Sales and Order Management
•Product & Catalog Management
•Customer Relationship Management
•Data Warehouse
•Big Data solutions


The general qualifications of this position include the followings.”

· BS or MS in Computer, Electrical and Electronics Engineering or Mathematical Engineering from reputable universities
· 1+ years of development experience in software development in big data platforms
· Experienced in python,java ee,jsp/servlet,jsp,spring 
· One or more of Apache Spark,Map-reduce, Hadoop, HBase, Flume, Hive,ElasticSearch,MongoDB experience
· Good knowledge of Oracle SQL/ PLSQL, PostgrSQL, Mysql is preferred
· Outstanding interpersonal and communication skills
· Eagerness for quality and continuous improvement of processes
· Good command of written and spoken English
· Available to work in flexible hours
· Male candidates should have no military obligations or postponed for at least two years

 

· Development and maintenance of software applications with big data technologies
· Preparing documentations for projects & software applications through Etiya Wiki portal
· Researching big data technologies 
· Implementing and organizing Poc works