Software Embedded Data Engineer

Role & responsibilities

• Embedded software applications development using C and C++, Embedded Linux, QNX, and FreeRTOS.
• Developing cloud-based data analytics platforms,Supporting AI/ML models,Predictive maintenance
• Fleet monitoring,Digital Twin solutions ,UAV performance analysis
• Building data pipelines for UAV/Drone data ,Processing flight telemetry and sensor data
• Develop and debug applications for automotive platforms, including TI TDA4/Jacinto SoCs.
• Implement and validate automotive communication protocols such as CAN, CAN FD, SOME/IP, and UDS.
• Develop multithreaded applications and optimize software performance for real-time systems.
• Perform unit testing, integration testing, system testing, and regression testing.Use debugging and resolve software defects.
• Develop automated test scripts using Python and Shell scripting.Experience with CI/CD tools such as Jenkins.
• Participate in code reviews, static code analysis, requirement traceability, and software quality improvement.
• Collaborate with system, hardware, and integration teams to resolve ECU-level issues.
• Experience in GDB and Vector CANoe. Google Test or VectorCAST, Git, Jenkins, and software development processes.

Preferred candidate profile

-strong expertise in C/C++, Embedded Linux, QNX, and real-time operating systems.

-Must-Have Skills-Software Programming with Python,PySpark ,SQL

-Data Engineering: Apache Spark, ETL / ELT Development ,Data Pipelines, Databricks,Kafka ,Airflow ,Snowflake,Delta Lak ,Hadoop

-Cloud Platforms:Experience in AWS,Azure,GCP .Distributed Processing,Streaming Analytics ,Rabbit MQ,Docker

-Preferred automotive software development,Experience in ADAS applications, ECU communication protocols and embedded software testing and debugging.