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Senior data engineer in Bangalore with moderate brand and generalist technical requirements yields medium competition.
Medium because core data engineering skills are transferable, though industrial domain experience is preferred.
High due to explicit 8+ years, cloud/Kubernetes, data pipeline, and customer-facing requirements.
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Lead design and implementation of scalable data engineering solutions using Cognite Data Fusion® platform.
Drive integrations, data extraction, modeling, and analysis with Cognite connectors, SQL, Python/Java, and REST APIs.
Collaborate with data scientists, solution architects, and product teams to deliver industrial data solutions and contribute to Cognite tools and SDKs development.
Bachelor's or Master's degree in Computer Science or related field; relevant experience can substitute formal education.
Minimum 8+ years in customer-facing, data-intensive roles with experience delivering production-grade data pipelines.
Proficient in Python, SQL, REST APIs; experience with distributed computing (Kubernetes) and cloud platforms (GCP and/or Azure).
Work Experience Required: Minimum 8+ years; Domain knowledge of oil & gas and manufacturing data sources is a plus but not mandatory.
Experienced in cross-functional collaboration with data scientists, engineers, and product managers in industrial technology contexts.
Strong DevOps mindset with hands-on experience in Git, CI/CD, and deployment environments.
Comfortable working independently to troubleshoot and solve complex data engineering problems, while sharing knowledge within teams.