Data Engineer

Cognite Cognite · Industrial · India · Value Delivery

Data Engineer role focused on building and implementing scalable data engineering solutions for industrial digitalization using Cognite Data Fusion. Responsibilities include data integration, modeling, analysis, and collaboration with data scientists and project managers to deploy digital solutions. Requires experience with data pipelines, cloud services, and DevOps practices.

What you'd actually do

  1. Lead the design and implementation of scalable and efficient data engineering solutions using our platform Cognite Data Fusion®.
  2. Drive and manage integrations, extractions, data modeling, and analysis using Cognite data connectors and SQL, Python/Java and Rest APIs.
  3. Create custom data models for data discovery, mapping, and cleansing.
  4. Collaborate with data scientists, project managers and solution architects engineers on project deliveries to enable our customers to achieve the full potential of our industrial dataops platform.
  5. Conduct code reviews and implement best practices to ensure high-quality and maintainable code and deliveries.

Skills

Required

  • Python
  • SQL
  • Rest APIs
  • Kubernetes
  • GCP
  • Azure
  • DevOps
  • Git
  • CI/CD

Nice to have

  • Domain experience/knowledge of data sources within oil and gas & manufacturing industry

What the JD emphasized

  • Minimum 3+ years of experience in a customer-facing Data intense role
  • Experience delivering production-grade data pipelines using e.g. Python, SQL and Rest APIs
  • Experience with distributed computing such as Kubernetes and managed cloud services such as GCP and/or Azure