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2 weeks ago
We are seeking a highly skilled Data Engineer to build and maintain large-scale data infrastructures, developing real-time data processing pipelines using technologies like Kafka, Flink, and Spark. This is a full-time role that offers flexibility for remote work.
Key Responsibilities- Stay up-to-date with the latest developments in Data Engineering including experience with Kafka, Flink, and Spark.
- Expertise in Data Modeling and Design is required to ensure top-notch data quality and efficiency.
- Leverage Extract Transform Load (ETL) processes and Data Warehousing to enhance the company's data management capabilities.
- Develop exceptional Data Analytics and problem-solving skills to handle real-time data processing challenges.
- Build strong collaboration and communication abilities to foster seamless teamwork.
A successful candidate will have a strong background in software development, data engineering, and cloud computing, with excellent problem-solving skills and a passion for learning new technologies.
This role involves working closely with cross-functional teams to design, develop, and deploy scalable data pipelines. The ideal candidate will be able to communicate complex technical concepts effectively and have a proven track record of delivering high-quality solutions under tight deadlines.
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