Data Engineer (Java Microservices & Camunda)
Role details
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Job description
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- Implement and optimise PySpark jobs for large-scale data processing.
- Write clean, efficient, and maintainable code adhering to best practices.
- Perform detailed code analysis and debugging to ensure high-quality deliverables.
- Collaborate with cross-functional teams including data scientists, analysts, and product managers to understand data requirements and deliver solutions.
- Monitor and improve system performance and reliability.
- Participate in code reviews, ensuring code quality and adherence to standards.
- Develop documentation and provide technical support as needed.
Requirements
- Strong proficiency in Java with a focus on Microservices architecture.
- Extensive experience in Python programming and scripting.
- Hands-on experience with PySpark for big data processing.
- Excellent coding skills with a strong emphasis on code quality, analysis, and debugging.
- Solid understanding of data engineering concepts, ETL processes, and data pipeline development.
- Experience with distributed computing frameworks and cloud platforms is a plus.
- Strong problem-solving skills and attention to detail.
- Excellent communication and teamwork abilities.
Preferred Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Experience with containerisation technologies like Docker and orchestration tools like Kubernetes.
- Familiarity with version control systems such as Git.
Benefits & conditions
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