Senior Data Engineer – Support

Cognite

full-time

Posted on: 10/15/2025

Location Type: Hybrid

Location: Bengaluru • 🇮🇳 India

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Senior

AzureCloudGoogle Cloud PlatformGrafanaGraphQLKubernetesPythonSQL

About the role

Supporting production environments and troubleshooting customer deployments.
Implementing proactive monitoring and operational improvements.
Collaborating with global teams for 24/7 operational readiness.
Delivering high-quality support across four tiers of enterprise-grade customer service.

Bachelor’s or Master’s degree in Computer Science, Engineering, or related fields.
3+ years in a data-intensive, customer-facing role with experience in technical support in a SaaS or Data platform environment, ideally in a Tier 2/3 or engineering-focused support function.
Strong programming skills in Python and SQL; experience working with REST APIs.
Familiarity with cloud platforms (Azure, GCP), Kubernetes, and CI/CD tools.
Experience maintaining production-grade data pipelines and workflows in live customer environments.
Knowledge of industrial data systems or domains such as Oil & Gas, Power, or Manufacturing is a plus.
Experience with tools like Grafana, Power BI, or GraphQL is a bonus.
Strong problem-solving and troubleshooting skills.
Excellent English communication skills and a customer-centric mindset.

Benefits

A high-impact role supporting enterprise customers using industry-leading data infrastructure.
The opportunity to work closely with global teams and cutting-edge technology.
Exposure to advanced enterprise support practices including SLAs, proactive diagnostics, and strategic alignment.
Growth opportunities into technical leadership, solution architecture, or platform reliability roles.

Tip: use these terms in your resume and cover letter to boost ATS matches.

PythonSQLREST APIsKubernetesCI/CDdata pipelinesdata workflows

problem-solvingtroubleshootingcommunicationcustomer-centric mindset

Bachelor’s degreeMaster’s degree