Veri Mühendisi

QIMIA ENTERPRISE BİLGİ VE TEKNOLOJİ HİZMETLERİ A.Ş. ( Qimia Machine Intelligence )

Qimia is an internationally positioned company with a start-up mentality for digital transformation. We comprehensively support companies in their digitalization through innovative and excellent software & solutions, Big Data, Cloud Computing, Machine Learning and Artificial Intelligence.

Our mission is to develop technologies of the future. With these, we are changing the way people use, interact with, explore, and gain insights from data.

Are you an advocate of cutting-edge technologies, do you enjoy working in an agile and innovative environment, and keep up with the ever-evolving technical landscape? Do you enjoy learning new things and have a doer and engineering mindset? Then Data Engineering is the right place for you.

We are looking for Data Engineers to take part in our international projects.

Your role at Qimia:

• Building innovative platforms and technologies especially in Data Analytics, Machine Learning and Artificial Intelligence.
• 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.

Your skills and experiences:

• 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, MySQL.
• 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.

What we offer you:

• A diverse and future-proof work environment with a high level of responsibility.
• The chance to work on one of the most challenging and relevant projects in financial services and IT technologies.
• A working environment built on good team spirit, flexibility, and respect.
• Wide range of tasks and varied activities.
• Intensive training and support from experienced mentors.
• Attractive and individual training opportunities for our employees in the areas of data science, data engineering software development and project management.
• Rapid career advancement opportunities in a young and dynamic company.
• Flat hierarchies and plenty of room for innovative ideas as well as creative opportunities are part of our corporate culture.
• Working on projects with colleagues in Germany and the USA, partially on-site.