
Real-time Data Solutions Architect
7 days ago
Job Title: Data Engineer – Real-time Systems
About the RoleThis is a full-time hybrid position for a skilled professional to design and develop scalable data systems and architectures, utilizing technologies like Kafka, Flink, and Spark. The successful candidate will be responsible for building and maintaining large-scale data infrastructures, ensuring data quality and efficiency.
The ideal candidate will have expertise in data modeling and design, as well as experience with extract transform load (ETL) processes and data warehousing. Strong skills in data analytics and problem-solving are essential. Excellent communication and teamwork abilities are also required.
Bachelor's degree in computer science, information technology, or a related field is necessary. Experience with cloud platforms and big data technologies is a plus.
Key Responsibilities- Design and develop scalable data systems and architectures using Kafka, Flink, and Spark
- Develop real-time data processing pipelines
- Maintain and optimize large-scale data infrastructures
- Collaborate with cross-functional teams to identify and address business needs
- Proficiency in data engineering, including experience with Kafka, Flink, and Spark
- Expertise in data modeling and design
- Experience with ETL processes and data warehousing
- Strong skills in data analytics and problem-solving
- Excellent communication and teamwork abilities
This is a hybrid role that includes both in-office and remote work options. The company offers opportunities for growth and development, as well as a collaborative and dynamic work environment.
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