Job description: Data Engineering (Telematics Platform)

Location: Yelahanka, Bangalore

You Will
We are building one of the largest real-time EV telematics data platforms in India processing millions of events per minute from connected vehicles. We are looking for a Module Lead Data Engineering who can architect and guide the team toward a scalable, cost-productive, and secure data pipeline built on GCS, Spark, and Flink.

To Be Successful, You Will Be Expected To
Lead design and development of large-scale data ingestion and processing pipelines using Apache Flink, Spark, and Kafka.
Own the full data lifecycle from real-time ingestion to offline storage in GCS (Parquet/Delta Lake) and analytics in downstream systems (e.g., Pinot/ClickHouse).
Optimize streaming and batch jobs for performance, reliability, and cost efficiency.
Define data partitioning, retention, and compaction strategies for telemetry signals and trip/charging data.
Work closely with product and backend teams to expose processed data via APIs and internal services.
Mentor a team of data engineers, enforce code quality, and drive technical reviews and documentation
Troubleshoot production data issues,



and build observability for data latency, completeness, and accuracy.

You must have any or a combination of any of the following skills:
Robust understanding of streaming system internals and event-time processing.
Experience with data modeling for time-series and telemetry data.
Proven ability to stabilize large-scale data pipelines and lead technical direction.
Excellent communication and mentoring skills
Scope of Telematics Data

You will handle diverse EV telemetry streams including:
Vehicle signals: speed, SOC, range, temperature, GPS, ignition, mode, and charging data
Derived datasets: trips, charging sessions, vehicle health, and usage analytics

Processing goals: near real-time insights for app dashboards, dealer analytics, and OTA decisioning
Tech Stack
Languages: Python, Java, Scala
Core Tools: Apache Flink, Apache Spark, Kafka, GCS, Airflow, Pinot/ClickHouse
Data Formats: Parquet, Avro, JSON
Infrastructure: GCP (GCS, Pub/Sub, DataProc, Composer), Kubernetes, GitHub Actions.

📌 Data Engineering Bengaluru
🏢 Simple Energy
📍 Bengaluru