Data Engineer for data processing
Salary: 15. 000 - 20. 000 RON net per month
Requirements:- We are seeking a skilled data engineer with extensive knowledge and understanding of Kafka and data processing pipelines. The ideal candidate will have experience in designing, developing, and maintaining large-scale data processing systems that handle high volume and velocity data streams.
- Qualifications:
- Bachelor's degree in computer science, engineering, or a related field.
- 3+ years of experience in data engineering, designing, building, and maintaining large-scale data processing pipelines.
- Extensive experience with Kafka and other streaming technologies.
- Strong understanding of distributed systems, data partitioning, and fault tolerance.
- Experience with big data processing frameworks (Hadoop, Spark, etc. ).
- Proficiency in one or more programming languages (Java, Scala, Python, etc. ).
- Familiarity with data modeling, schema design, and optimization.
- Strong problem-solving skills and ability to work independently and as part of a team.
- Excellent communication skills and ability to explain technical concepts to non-technical stakeholders.
- Responsibilities:
- Design, develop, and maintain data processing pipelines using Kafka and other streaming technologies.
- Build scalable and reliable distributed data processing systems that handle large volumes of data in real-time.
- Ensure data quality and integrity throughout the data processing lifecycle.
- Optimize data processing performance and scalability to handle increasing data volumes.
- Collaborate with other data engineers, data scientists, and business stakeholders to design and develop data-driven solutions.
- Continuously monitor and improve data processing performance, scalability, and reliability.
- Develop and maintain tools and frameworks to automate data processing and ensure reproducibility.
- Big Data
- Hadoop
- Java
- Kafka
- Python
- Scala
- Spark
- Data-Engineer
- Data-Science
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last updated 50 week of 2025
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