Back
Popular mid-level data role in Bangalore with broad cloud, DevOps and customer-facing requirements increases applicant density.
Core data engineering skills are transferable, but industrial domain knowledge and customer-facing experience increase specificity.
Explicit 4+ years plus mandatory Python/SQL, cloud and Kubernetes requirements create strict screening filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead design and implementation of scalable data engineering solutions on Cognite Data Fusion® platform.
Drive integrations, data modeling, extraction, and analysis using SQL, Python/Java, and REST APIs.
Collaborate with cross-functional teams to deliver projects enabling customers to leverage industrial data effectively.
Bachelor or Master degree in computer science or similar; relevant experience may compensate for formal education.
Minimum 4+ years experience in a customer-facing, data-intensive role.
Experience delivering production-grade data pipelines using Python, SQL, and REST APIs.
Experience with Kubernetes, cloud platforms such as GCP and/or Azure, and DevOps tools like Git and CI/CD.
Experienced in working with industrial data platforms and customer-facing technical roles.
Comfortable in cross-functional collaboration with data scientists, solution architects, and project managers.
Capable of independently solving problems with a DevOps mindset and commitment to high-quality code and knowledge sharing.