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1 week ago
We are seeking an experienced Big Data Engineer to lead our data engineering team. The ideal candidate will have a strong background in designing and implementing large-scale data pipelines, as well as experience with cloud-based infrastructure.
The successful candidate will have a deep understanding of big data technologies such as Apache Spark, Kafka, and Hudi. They will also have experience with graph databases such as Neo4j, Neptune, and JanusGraph. A Master's degree in Computer Science or a related field is preferred, but not required.
Key Responsibilities:- Design and implement large-scale data pipelines using Apache Spark and other big data technologies.
- Lead the development of cloud-based infrastructure for data processing and storage.
- Collaborate with cross-functional teams to identify business requirements and develop solutions.
- Stay up-to-date with industry trends and emerging technologies in big data and data engineering.
- 8+ years of experience in big data engineering, including experience with Apache Spark, Kafka, and Hudi.
- Strong understanding of cloud-based infrastructure and experience with cloud providers such as AWS or GCP.
- Experience with graph databases such as Neo4j, Neptune, and JanusGraph.
- Master's degree in Computer Science or a related field (desired).
- Competitive salary and benefits package.
- Opportunities for professional growth and development.
- A collaborative and dynamic work environment.
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