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).
Read the full description and apply on the company’s own careers page.
