Are you a terrific Data Engineer? If yes, you should work at STACC!

• Data Analytics for Software and Systems Optimization: we develop and apply data analytics methods to identify optimization opportunities in large-scale software-intensive systems;
• Spatio-Temporal Data Analytics: data analytics of spatio-temporal data collected through GIS, LBS, GPS devices, web traffic information;
• Big Data and Security;
• E-Health and Personalized Medicine: big data analytics across a vast body of digital healthcare information.

• Build and maintain RESTful APIs around our ML models.
• Build data pipelines and microservices (Docker).
• Build and scale services in a cloud environment.
• Orchestrate ML workflows (Apache Airflow) and automate services deployment.
• Evaluate and optimize the performance of infrastructure and applications
• Create and manage databases.

In order to succeed as a Data Engineer you need to have hands-on experience:

• In designing, deploying and monitoring production environments.
• In building and optimizing data pipelines.
• In automating and integrating new solutions with existing infrastructure (e.g. Ansible).
• With cloud platforms (preferably AWS).
• With open source web servers (e.g. Nginx or Apache) and databases (e.g. Postgres, MongoDB, Mysql).
• With Linux environment.
• With one or more job scheduler systems, such as Airflow or Luigi.
• With one or more mainstream programming languages, such as Python, C, C++, Java, Go, etc.

To be a perfect match for STACC we expect you to:

• Like to play board games. A lot. Oh, and Monopoly doesn’t count!
• Use rubber ducks when debugging and like pair programming.
• Be an outgoing team player and see the big picture!
• Think outside the box and dare to take initiative.
• Be open minded, reliable and witty.
• Be an AWSome Python Ninja!
• Have a business oriented, analytical, and problem-solving mindset.
• Have a Master`s degree and a minimum of 2 years of related experience.