Distributed Data Engineering Expert @ Pragmile
6 days ago
We are looking for a skilled Distributed Data Engineer to join our team at Pragmile. Our company is dedicated to supporting solar farm operations through an analytical platform that processes various types of PV plant data.
The ideal candidate will have experience with designing and implementing scalable data architectures, capable of processing large amounts of mostly unstructured data in a distributed manner.
As a Distributed Data Engineer at Pragmile, you will work on building and maintaining distributed/multiprocessing data processing pipelines, ensuring optimal functionality and efficiency. You will also collaborate with data scientists and ML engineers to serve AI/ML models with high throughput.
Responsibilities- Design and implement scalable data architectures for big data processing
- Build and maintain distributed/multiprocessing data processing pipelines
- Collaborate with data scientists and ML engineers to serve AI/ML models
- Optimize performance and ensure efficient data processing
- Big data experience and knowledge of data structures
- Proficiency in Python programming language
- Familiarity with NoSQL and relational databases
- Strong understanding of object design and integration patterns
- Experience with cloud platforms (AWS, GCP)
- Stable employment with flexible working hours
- Hybrid work model with regular team meetings
- Private healthcare and sports card
- Training budget and opportunities for growth
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