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Popular mid-level Data Engineer role in Bangalore with broad cloud, Python, and customer-facing requirements increases competition.
Core data engineering skills transfer across industries, though industrial domain knowledge moderately favors fit.
Explicit 4+ years plus production pipeline, cloud, and Kubernetes skills enforce strict shortlisting filters.
Lead design and implementation of scalable, efficient data engineering solutions using Cognite Data Fusion® platform.
Drive integrations, data extraction, modeling, and analysis using Python, SQL, Java, REST APIs and Cognite data connectors.
Collaborate with cross-functional teams including data scientists and solution architects to enable customer success and contribute to development of Cognite tools and SDKs.
Bachelor's or Master's degree in Computer Science or similar; relevant experience may compensate for formal education.
Minimum 4+ years experience in customer-facing, data-intensive roles with production-grade data pipelines using Python, SQL, and REST APIs.
Experience with distributed computing (e.g., Kubernetes) and managed cloud services (GCP and/or Azure).
Work Experience Required: Minimum 4+ years; Domain experience in oil & gas and manufacturing data sources is a plus but not mandatory.
Experienced in delivering scalable data engineering solutions on industrial data platforms in sectors like energy, power & utilities, or manufacturing.
Proficient with DevOps practices including Git, CI/CD, and deployment environments, with a mindset for maintainable, high-quality code.
Capable of independently troubleshooting and problem-solving while collaborating effectively in cross-functional, customer-facing teams.