The ePlane Company is at the forefront of India's urban air mobility revolution. Incubated at IIT Madras, we are a deep-tech startup dedicated to designing and building the world's most compact electric flying taxi. Our mission is to make door-to-door flying a reality, drastically reducing commute times and decongesting our cities for a cleaner, greener future. We're a passionate team of engineers, designers, and visionaries working on cutting-edge technology, and we're looking for brilliant minds to help us take flight.
This role builds and owns the data infrastructure across digital systems, market intelligence, and product operations. The data engineering lead is also the programme's data governance officer: the person who ensures that when anyone asks where does that number come from, the answer is a documented, auditable data lineage
Build scalable ETL/ELT pipelines to handle high-velocity streaming data and batch processing.
Implement data integrity checks, metadata management, and security protocols.
Provide the data backbone for the MDO, Commercialisation, and engineering teams to ensure seamless data flow.
Maintain the highest standards for code quality, including conducting rigorous code reviews, developing comprehensive unit tests, and producing clear, thorough documentation
Design and implement the data warehouse: raw data lake + structured analytical warehouse with clear separation of raw, cleaned, and modelled data layers
Implement data lineage tracking: every number that enters a model output must be traceable back through transformations to its original source record,
Design the data access layer for the appropriate teams and create experimental, isolated, and research sandboxes
RequirementsRequired Qualifications
8+ years in Data Engineering with experience leading engineering teams.
Expertise in Apache Spark/Kafka, Airflow, and cloud infrastructure (AWS/Azure/GCP).
Advanced knowledge of NoSQL, Relational, and Vector databases.
Proven understanding of fundamental data structures and the ability to apply them to solve complex problems.
Cloud data warehouse experience: Schema design, query optimisation, cost management
Comfort with large, messy, multi-source datasets
Experience with data quality frameworks
Experience with Containerization (Docker/Kubernetes)
Experience at a data-intensive platform company where data pipelines directly powered business-critical decisions
Exposure to time-series data pipelines: has built systems that ingest, store, and serve temporal data cleanly (traffic growth time-series, economic indicators)
Understanding of mathematics, particularly linear algebra and probability theory
Skills Required
- 8+ years of experience in data engineering
- Experience leading engineering teams
- Expertise in Apache Spark and Apache Kafka
- Expertise in Apache Airflow
- Experience with cloud infrastructure on AWS, Azure, or Google Cloud Platform
- Advanced knowledge of NoSQL, relational, and vector databases
- Understanding of fundamental data structures and applying them to complex problems
- Cloud data warehouse experience, including schema design, query optimization, and cost management
- Comfort working with large, messy, multi-source datasets
- Experience with data quality frameworks
- Experience with containerization using Docker and Kubernetes
- Experience at a data-intensive platform company where data pipelines powered business-critical decisions
- Experience building time-series data pipelines
- Understanding of mathematics, particularly linear algebra and probability theory
What We Do
We're developing India’s 1st flying electric taxi for up to 10x faster intra-city commute and cargo transport. Incubated at IIT Madras, Chennai since 2019, The ePlane Company was founded by Professor Satya Chakravarthy with a vision to make flying ubiquitous. As an Urban Air Mobility (UAM) startup, we aim to alleviate on-road traffic congestion in cities worldwide by offering safe, sustainable and affordable flying experiences through our flagship product, The ePlane e200.
