Data Engineer

Overview

Data Engineer role focused on designing and implementing scalable data engineering solutions using Cognite Data Fusion.

What you'll do

• Lead design and implementation of scalable, efficient data engineering solutions with Cognite Data Fusion.
• Drive integrations, extractions, data modeling, and analysis using Cognite connectors and SQL, Python/Java, and REST APIs.
• Create custom data models for data discovery, mapping, and cleansing.
• Collaborate with data scientists, project managers, and solution architects/engineers on project deliveries.
• Conduct code reviews and implement best practices for maintainable code and deliveries.
• Support customers and partners with data engineering tasks using Cognite products.

What you'll need

• Bachelor or Master degree in computer science or similar (or relevant experience can compensate).
• Minimum 4+ years of experience in a customer-facing data-intensive role.
• Experience delivering production-grade data pipelines using Python, SQL, and REST APIs.
• Experience with distributed computing such as Kubernetes and managed cloud services such as GCP and/or Azure.
• Experience with Git and CI/CD, including deployment environments.
• Ability to work cross-functionally and independently investigate and solve problems.

Details

• Location: India (Bengaluru).