Data Engineering (Telematics Platform)

About Simpleenergy 
Simpleenergy specializes in the manufacture of smart electric two-wheelers. We are a team of 300+ engineers coming together to make smart, supercharging, and affordable two-wheelers. The company was founded in 2019 and is based in Bangalore, India.
Our mission is to build the future of mobility that is electric and connected. We at Simple energy are working towards accelerating by making them more accessible, affordable, secure and comfortable and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. 
 
 
Job description: Data Engineering (Telematics Platform)
Location: Yelahanka, Banaglore
 
 
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-efficient, and stable data pipeline built on GCS, Spark, and Flink.
 
 
To Be Successful, You Will Be Expected To

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  Lead design and development of large-scale data ingestion and processing pipelines using Apache Flink, Spark, and Kafka.

  
  


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  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).

  
  


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  Optimize streaming and batch jobs for performance, reliability, and cost efficiency.

  
  


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  Define data partitioning, retention, and compaction strategies for telemetry signals and trip/charging data.

  
  


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  Work closely with product and backend teams to expose processed data via APIs and internal services.

  
  


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  Mentor a team of data engineers, enforce code quality, and drive technical reviews and documentation

  
  


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  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:

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  Strong understanding of streaming system internals and event-time processing.

  
  


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  Experience with data modeling for time-series and telemetry data.

  
  


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  Proven ability to stabilize large-scale data pipelines and lead technical direction.

  
  


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  Excellent communication and mentoring skills

  
  


• Scope of Telematics Data
  

  You will handle diverse EV telemetry streams including:

  
  
  
  
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    Vehicle signals: speed, SOC, range, temperature, GPS, ignition, mode, and charging data

    
    
  
  
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    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
  
  
  
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    Languages: Python, Java, Scala

    
    
  
  
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    Core Tools: Apache Flink, Apache Spark, Kafka, GCS, Airflow, Pinot/ClickHouse

    
    
  
  
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    Data Formats: Parquet, Avro, JSON

    
    
  
  
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    Infrastructure: GCP (GCS, Pub/Sub, DataProc, Composer), Kubernetes, GitHub Actions