Deployment Engineer
Cameron, a Schlumberger company4 days ago
Pune, IndiaSenior
Responsibilities
- Design, configure, and deploy end-to-end data ingestion pipelines into Cognite Data Fusion.
- Integrate structured, unstructured, industrial, operational, and enterprise data sources.
- Transform, contextualize, profile, validate, and improve the quality of engineering and business data.
- Design and maintain Cognite Data Fusion data models, metadata structures, relationships, and governance approaches.
- Configure and deploy OptiFlow and OptiSite, including workflows, business logic, integrations, UI customization, testing, and production deployment.
- Troubleshoot ingestion and data issues and optimize pipeline performance.
- Gather technical requirements, lead data discovery and deployment planning sessions, and communicate findings to technical and non-technical stakeholders.
- Support cloud-based deployment and operational activities and collaborate with software development teams.
- Create deployment guides, runbooks, operational procedures, and other technical documentation.
- Evaluate new platform capabilities and contribute to deployment standards and internal knowledge sharing.
Requirements
- Bachelor’s degree in computer science, information technology, data engineering, engineering, or a related technical discipline.
- At least 5 years of experience in data engineering, deployment engineering, industrial digitalization, or related fields.
- Experience implementing enterprise-scale data integration and data management solutions.
- Experience working with cloud environments and deployments.
- Strong knowledge of data integration, ETL/ELT, data profiling, cleansing, validation, and enterprise or industrial data architectures.
- Advanced SQL scripting and query optimization skills, with experience in relational databases and data warehousing.
- Intermediate to advanced Python scripting skills for data validation, transformation, and deployment automation.
- Experience with Cognite Data Fusion or similar industrial data platforms and knowledge of contextualization and data modeling.
- Experience with one or more industrial systems such as PI Systems, SCADA, SAP, Manufacturing Execution Systems, industrial historians, engineering information management systems, or industrial IoT platforms.
- Understanding of cloud deployment, security, networking, and operational concepts across Azure, AWS, or Google Cloud Platform.
- Understanding of software development lifecycle practices and experience collaborating with software engineering and product development teams.
- Working knowledge of Git and GitHub, including repository management, branching, commits, pull requests, code reviews, and issue tracking.
- Experience creating technical documentation and using documentation or collaboration platforms such as Confluence or SharePoint.
- Preferred qualifications include industrial digitalization solution deployment, experience with OptiFlow or OptiSite, industry experience in energy or manufacturing, data governance knowledge, and familiarity with DevOps and CI/CD deployment practices.
- Strong analytical, communication, stakeholder management, customer-facing consulting, prioritization, and problem-solving skills.
About Cameron, a Schlumberger company
Cameron Products delivers advanced technologies and engineered solutions spanning pressure control, flow control, processing systems, and across the energy value chain.