DATA ENGINEER WITH PYTHON (m/f/d)
At a glance
Mid-level Data Engineering role at SchwarzIT Sourcing. Sofia.
Pay not stated Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Build new software features and keep existing products working
- Create data pipelines, then run them in production
- Improve pipeline efficiency and scalability while keeping operating costs under control
- Investigate problems independently and put solutions into practice
What you bring
- You have solid Python skills and have worked with Spark or PySpark on large datasets
- You understand software development practices such as version control, continuous delivery, DevOps and testing
- You have introductory familiarity with Google Cloud Platform
Who this fits
This mid-level role suits a data engineer comfortable owning both pipeline development and production operations. The position is based in Sofia, Bulgaria.
From the employer
Make an amazing climb in your career in an international team of experts. Our company provides technological services for the whole Schwarz group of more than 30 countries in Europe and the US. Our vision is to be the leading ecosystem for a better life. We built the European sovereign cloud STACKIT. With XM Cyber we set new standards in differing cyber crimes. We run AI better than anyone. With us you will find a variety of opportunities to grow and do your best at your calling – IT. We exist to improve life with our products and services - for today's generation and future generations. We act future proof!
The impact you will create:
- Maintain existing and develop new software products and features
- Develop and operate productive data pipelines
- Ensure optimal and cost-efficient operations and scalability
- Independently analyze problems and implement solutions
Essential skills you will need:
- Good knowledge of Python
- Experience with handling big data with Spark/PySpark
- Understanding of the software development cycle and its best practices (e.g. gitflow, CI/CD, DevOps, testing)
- Basic knowledge of the Google Cloud Platform
- Bonus points for: SQL, Databricks, streaming, FastAPI
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