Industrial Data Engineer

Role: Industrial Data Engineer

Location: Bangalore, PAN INDIA

Exp range: 3-12 years

Key Responsibilities

• Design & implement robust data pipelines for ingestion, transformation, and contextualization of industrial data.
• Integrate diverse data sources using APIs, and custom scripts.
• Create custom data models for discovery, mapping, and cleansing.
• Collaborate with data scientists, solution architects, and project managers to deliver end-to-end solutions.

Required Skills

• Proficiency in Python and SQL.
• Experience with Cognite Data Fusion (CDF) and industrial data sources.
• Knowledge of Industrial domain (Oil & Gas or other Process industry preferred).
• Understanding of cloud platforms (such as Azure or GCP).
• 4-8 years of experience in building scalable data solutions

Preferred Qualifications

• Bachelors in Engineering (Petroleum / Chemical preferred).
• Strong problem-solving and debugging skills.
• Prior exposure to time-series data and industrial asset hierarchy.
• Familiarity with DevOps tools like Git and CI/CD pipelines.