Cloud Data Platform Engineer
hace 13 horas
Are you a seasoned software engineer with expertise in designing and developing high-performance data pipelines? We are seeking an experienced Cloud Data Platform Engineer to join our dynamic team at Wlg. This is an exceptional opportunity to contribute to the development of our client's revolutionary SASE solution, shaping the future of network and security technology.
About the CompanyOur client, an innovative firm with Israeli origins, has exceeded $3 billion in valuation and boasts a robust global footprint across 75+ data centers. They pioneered the 'SASE' category, integrating services like firewalls, SD-WANs, and remote access into a single cohesive solution. As they expand their RD operations in Prague, you'll have the chance to collaborate with a dynamic Scrum team driving innovation in a high-growth environment.
Job DescriptionWe are looking for a skilled Cloud Data Platform Engineer to develop our client's cloud-based microservices data pipelines. Your role will involve building scalable and high-performing systems that cater to thousands of enterprise customers worldwide. You will work on cloud-based infrastructure (AWS advantage), designing and implementing engaging eLearning content covering the SASE solution, and collaborating with different teams to identify common questions and resolutions.
Responsibilities- Design and develop cloud-based microservices data pipelines with low latency and high scalability
- Maintain and curate a library of instructional materials
- Collaborate with teams to identify common questions and resolutions relevant to technical content
- Develop engaging eLearning content covering the SASE solution, including hands-on experience with management applications and integrated solutions
To be successful in this role, you should possess:
- 7+ years of backend development experience with data affinity
- At least 5+ years of experience with Java, Golang, Spring Boot, Microservices, and Cloud (AWS advantage)
- 5+ years of experience with Big Data technologies: ClickHouse, Hadoop, Kafka, MongoDB, Spark, Iceberg (advantage)
- Proven experience in high-performance environments and benchmark evaluation
- Expertise in architecture, design, and development of data pipelines and high-scale storage
- Experience with monitoring tools such as Kibana, Grafana, DataDog is an advantage
- Familiarity with Cloud-based infrastructure (AWS, GCP, Azure) is an advantage
The estimated salary for this position ranges from $120,000 to $180,000 per annum, depending on your level of experience and qualifications.
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