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Popular mid-level data role, Bangalore location, broad cloud/Python/SQL requirements, and known employer increase competition.
Core data engineering skills are transferable, but industrial domain knowledge preference increases sensitivity moderately.
Explicit 4+ years plus mandatory Python/SQL/cloud/Kubernetes and customer-facing experience raises filter strictness.
Lead design and implementation of scalable data engineering solutions using Cognite Data Fusion® platform.
Manage integrations, data extraction, modeling, and analysis via Cognite data connectors, SQL, Python/Java, and Rest APIs.
Collaborate with cross-functional teams to deliver projects, conduct code reviews, support customers, and contribute to product tooling and SDKs.
Bachelor or Master degree in computer science or similar; relevant experience can compensate for formal education.
Minimum 4+ years experience in a customer-facing, data-intensive role.
Experience delivering production-grade data pipelines with Python, SQL, Rest APIs.
Experience with distributed computing (Kubernetes) and managed cloud services (GCP and/or Azure).
Comfortable working with industrial data in sectors such as Power & Utilities, Energy, Manufacturing, possibly oil and gas domain knowledge.
Experienced in collaborative, cross-functional environments involving data scientists, architects, and project managers.
Has a DevOps mindset with experience in Git, CI/CD, and deployment environments, and independent problem-solving capability.