Cognite is looking to solve the problem of insufficient tools and data availability hindering the creation of impact in industrial engineering, by developing and implementing data infrastructure and best-in-class pipelines to improve data reliability and efficiency, ultimately transforming how industrial data drives the world forward.
Requirements
- Experience in a Data intense role or relevant college course work
- Experience in Oil &Gas or Manufacturing is a huge plus
- Experience working with data technologies, such as: ETL, SQL, Python
- Develop custom extractors using backend technologies and languages i.e Python, Spark, Rest APIs
- Customize existing extractors i.e. database extractor using SQL, event streaming using Kafka and deploy using Docker
- Create custom data models for data discovery, mapping, and cleansing
- Prototype data visualization and dashboards
Responsibilities
- Design, develop and implement data infrastructure and best-in-class pipelines that collect, connect, centralize and curate data from various internal and external data sources.
- Ensure that architectures support the needs of the business, and recommend ways to improve data reliability, efficiency.
- Partner with Solution Architects to understand client requirements and define queries with subject matter experts
- Develop custom extractors using backend technologies and languages i.e Python, Spark, Rest APIs
- Customize existing extractors i.e. database extractor using SQL, event streaming using Kafka and deploy using Docker
- Create custom data models for data discovery, mapping, and cleansing
- Prototype data visualization and dashboards
Other
- This is a hybrid role working out of our Houston office so candidates must be local or willing to relocate themselves to Houston.
- Ability to work on both internal and external client-facing projects and communicate with key stakeholders
- Ability to travel onsite to meet with and engage with clients -- we don’t build solutions in isolation.
- Role based in Houston, TX or (Austin, TX w/ travel to Houston)
- 4+ years of experience in a Data intense role or relevant college course work
