Data and Infrastructure Engineer
Core
Organizing, collecting, processing, and storing data from different sources; designing, planning, managing, and supporting cloud computing environments.
Role type
Data and Infrastructure Engineer
Builds
Cloud environments, data pipelines, and infrastructure systems for energy innovation applications.
Domain
Energy technology / Cloud Infrastructure / Data Engineering
Deliverable
production ML models | infrastructure
Required skills
Cloud platforms (AWS, Azure, GCP), Container orchestration (Docker, Kubernetes), SQL/NoSQL databases, API design (RESTful), Linux/UNIX, Virtualization, Data migration, IoT solutions, Automation
Preferred skills
OpenStack, OSDU community code, Schlumberger Enterprise Data Management (EDM) workflows
Technologies
AWS, Microsoft Azure, Google Cloud Platform, Docker, Kubernetes, Postgres, OpenStack, Linux/UNIX, Rackspace, IoT Agora, JSON, XML
Responsibilities
Manage cloud environments per security guidelines; Act as focal point for system requirements from architects; Perform data loading, migration, and retrieval; Assemble complex data sets meeting business requirements; Run data and infrastructure assessments with improvement recommendations; Debug technical issues in complex stacks (virtualization, containers, microservices); Deploy using container technologies; Handle incoming incidents and change requests as first-line support; Install and configure IoT Agora solutions; Maintain on-premises applications; Work with stakeholders on data-related technical issues.
Seniority
Mid-level to Senior, hands-on IC