Expert/Senior Big Data Engineer

Asis

Asis Electronics is a fast-growing organization and market leader in smart technology solutions with over 450 employees. Our solutions help transport authorities to provide effective transit systems via easing passenger movement and improving operations management. Besides Turkey, our portfolio covers countries in Europe, Middle East, Africa and South Asia with on-ground operations. As an R&D and innovation focused company, we are shaping up next generation technology for smart transportation and smart cities. In addition, we are developing applications for automotive, defense, health, and cyber security industries. 

We are seeking a for a "Expert/Senior Big Data Engineer" teammate to assess within Asis.

Qualifications: 

• Performing academic research on Big Data, Artificial Intelligence or related area, 
• Have knowledge about Big Data Technologies, 
• Have developed applications on distributed systems and worked on high volume data, 
• Experienced in ETL (Extract, Transfom, Load) processes, 
• Have experienced on NoSQL (MongoDB, Cassandra, Elasticsearch etc.) database systems, 
• Have developed applications about at least one of the Big Data technologies such as Hadoop, Spark, MapReduce, 
• Have information about or used Cloudera, Hortonworks, Ambari and AWS services, 
• Work experience as a Python Developer (Python, R, Java, Scala languages on Linux / Unix) 
• Verify and deploy programs and systems 
• Writing clean, efficient code 
• Developing stable back-end software to improve responsiveness and overall performance 
• Integrating user-facing elements into applications 
• Familiarity with Agile development methodologies 
  

What You'll Do: 

• Working systematically on large scale data and preparing advanced analytic reports, 
• Developing large scale data applications on distributed systems, 
• Interpretation of data on real-time systems, 
• Preparing and processing data sets available for data scientists/analysts, 
• Providing and optimizing data independent platform for analytic models, 
• Performing backups and storage activities in large data centers, 
• Taking part in Big Data projects with leading companies of the sector,