
Real-Time Data Engineer
2 weeks ago
Job Title: Real-Time Data Engineering Professional
The ideal candidate will have a deep understanding of data engineering principles and practices, with a focus on real-time data processing.
- Responsibilities:
- Design, develop, and deploy scalable data pipelines to process large volumes of streaming data.
- Develop and maintain high-performance, distributed architectures for real-time data processing.
- Collaborate with cross-functional teams to identify business requirements and design solutions that meet those needs.
- Stay up-to-date with emerging trends and technologies in the field of data engineering.
Required Skills and Qualifications:
- Expertise in Spark, Flink, or other real-time data processing frameworks.
- Strong understanding of data modeling, data warehousing, and ETL processes.
- Experience with cloud-based services such as AWS, Azure, or GCP.
- Knowledge of distributed systems, microservices architecture, and containerization.
- Excellent communication and collaboration skills.
Benefits:
- Competitive salary and benefits package.
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