Data Engineer: Transforming Network Management
18 hours ago
Kognitive Networks is a pioneer in revolutionizing network management by leveraging Software-Defined Wide Area Networking (SDWAN) and Secure Access Service Edge (SASE) technologies to cater to various industries and use cases.
The company targets enterprises with multiple locations, requiring seamless communication. Kognitive Networks provides a software-first, wireless-aware approach to optimize connectivity across diverse networks, including LEO/GEO satellites and multi-carrier 4G/5G cellular networks.
Job SummaryWe are seeking an experienced Senior Data Engineer to join our team. The successful candidate will be responsible for creating and maintaining data pipelines on Kubernetes, normalizing large datasets from different sources, and working closely with teams on cloud-related data requirements.
Key Responsibilities- Create and maintain scalable data pipelines on Kubernetes to ensure efficient data processing.
- Normalize large datasets from various sources to provide unified insights.
- Collaborate with cross-functional teams to address data-related needs on the cloud.
- Design and build infrastructure for ETL processes from a wide range of data sources.
- Work with geospatial data sets, map visualization, and GraphQL APIs.
- Develop tools and datasets for data scientists to facilitate informed decision-making.
- Proficiency in Bigdata tools, including Kafka, Spark, and Airflow.
- Experience with SQL/NoSQL databases and time-series databases like Elasticsearch, Singlestore, or Clickhouse.
- Stream processing experience is a plus.
- Familiarity with scripting languages, particularly Python.
- Geospatial data experience.
- Containerization expertise with Kubernetes.
- Dapr/Keda knowledge.
- Understanding of MLOps.
Our estimated salary range for this position is between $120,000 and $180,000 per annum, depending on experience and qualifications. We offer a competitive benefits package, including health insurance, retirement plans, and paid time off.
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