Data Engineer – Software & AI for Jet and Cryogenic Engines
Location: Pune, India (Hybrid Available)
Scope of Work
We are seeking a Data Engineer with strong software and AI fundamentals to work on digital thread systems that support high-fidelity data acquisition, analytics, and simulation pipelines across combat jet and cryogenic engine programs. The role involves designing robust data pipelines and real-time analytics systems to support engine health monitoring, performance tuning, and failure prediction models.
Nature of Work
- Developing and maintaining data pipelines from sensors and simulation outputs
- Managing high-volume time-series data from testbeds and digital twins
- Structuring data lakes and integrating with simulation engines and digital twins
- Designing machine learning-ready datasets from thermodynamic and structural telemetry
- Collaborating with CFD/thermal/structural analysts to contextualize data
- Supporting FADEC and control algorithm teams with data-backed insights
- Enabling closed-loop feedback mechanisms for predictive diagnostics
- Deploying cloud-native or edge-ready data management solutions (e.g., Kubernetes, Kafka, Redis)
Job Requirements
- B.E./B.Tech or M.E./M.Tech in Computer Science, Data Engineering, or allied discipline
- 2–5 years of experience in building robust data pipelines, preferably in real-time systems
- Proficiency in Python, SQL, and distributed data frameworks (Apache Spark, Kafka, etc.)
- Understanding of sensor networks, edge computing, or digital twin environments is a plus
- Hands-on with tools like TensorFlow, PyTorch, scikit-learn, and deployment environments like Docker or K8s
- Experience with industrial protocols (CAN, MODBUS, OPC-UA) is an advantage
- Strong version control (Git), CI/CD workflow familiarity
- Good technical writing and data visualization abilities
Eligibility
- Indian nationals or eligible to work in India
- Exposure to aerospace, defense, or cryogenic domains is highly desirable
- Open to candidates from research institutions, startups, or industry with a strong data engineering portfolio