Data Engineer

VİSİONCY İNTERNATİONAL DANIŞMANLIK ANONİM ŞİRKETİ

Visioncy is an international startup incubator and tech company builder, with locations in Hannover (Germany), and Istanbul (Turkey). 

Visioncy designs and develops its own Al products and applications in-house and develop end-to-end Al and Data solutions for our clients, which are mostly major international corporations. We are the leading provider of Al and Big Data business solutions, responsible for innovation and improvement for many organizations across many industries.

Your role at Visioncy: 

• End-to-end design and implementation of data analytics systems; this includes data collection, requirements engineering and specification as well as the design of technical solutions based on business requirements. 
• Develop ETL pipelines for large complex data sets and to process structured and unstructured data using Spark, Hive, Kafka, Flume, Oozie, etc. 
• Prototyping and implementing massively scaled data analytics solutions based on Big Data tools (Hadoop, Spark, HIVE / Impala, SQL, H2O, Python). 
• Working with cloud platforms (Amazon Web Services, Microsoft Azure or Google Cloud Platform). 
• Building event streaming solutions in a container- based environment. 
• Operate in a CI/CD environment.
• Being part of team that builds innovative platforms and technologies especially in Data Analytics, Machine Learning and Artificial Intelligence. 

• Responsibilities and Expectations:

• BS/MS degree in Computer Science or equivalent industry experience. 
• Initial experience in cloud computing, event streaming, and container-based solutions. 
• Experience with one or more multi-purpose programming languages, including but not limited to: Java, C/C ++, Python, Scala, or JavaScript. 
• Experience working in cloud technologies (AWS/ Azure/GCP). 
• Software development experience working with Apache Airflow, Spark, Kafka, Hadoop.
• Strong knowledge of both SQL and NoSql databases(Msql,Oracle,Mango,Cassandra)
• Experience using Docker or Kubernetes is a plus. 
• Experienced in ETL processes and building data warehouses. 
• Ability to explain complex technical structures and issues to customers or colleagues. 
• Very good command of written and spoken English. 
• Solution-oriented approach and implementation of your solution for our customers. 
• Proactive, team player, strong communication skills, able to work under pressure, an independent and analytical and conceptual approach characterize you.