We are looking for an experienced, talented and motivated Data Engineer to join our team. The Data Engineer will be responsible for designing, building, and maintaining the infrastructure and data pipelines required to support our data-driven business operations. This is an exciting opportunity to work with cutting-edge technologies and play a critical role in shaping our data architecture.
Key Responsibilities:
- Design, build, and maintain scalable, reliable systems for high-load telemetry processing
- Develop and maintain data infrastructure including databases, data warehouses, and data lakes
- Develop and maintain data monitoring and alerting systems to identify and resolve issues quickly
- Optimize and scale data pipelines to handle large volumes of data
- Develop and implement data security and compliance policies and procedures
- Stay up-to-date with emerging trends and technologies in data engineering
- Work as part of a small A team.
Requirements:
Requirements
- Extensive knowledge with Python
- Experience in building large-scale data platforms and data stream pipelines in the cloud
- Experience with AWS cloud services
- Experience in current software development practices.
- Experience in SQL/NoSQL/Time Series databases such as: DynamoDB, Postgres, ElasticSearch
About Xyte
Xyte is an early-stage startup backed by a leading VC. We offer a disruptive, first-of-its-kind suite of cloud-based tools that enables equipment and device manufacturers across different industries to cloudify, service, support and commercialize their connected devices - all in one place.
By bridging the gap between devices and the cloud, Xyte’s platform enables manufacturers and their channel partners to leverage the as-a-Service business model and develop sustainable customer relationships.
Xyte works with market-leading companies and their diverse ecosystems, including hundreds of thousands of connected devices, helping them unlock new opportunities for growth.
Come join us and see what the Xytement is all about!