Data Integration Engineer
Autoliv
Bengaluru, IN
5d ago

Job Summary :

  • Experience in Data Collection with Hardware like IMU sensors, ECU, Raspberry Pi, Micro-controllers, IoT devices, Cameras, Add-on boards.
  • Experience with Automotive CAN Data handling is an added advantage.
  • Knowledge of the Data Science Projects in Python and related data science libraries, other platforms like Java, C++ is an added advantage.
  • Experience in Database Systems (SQL and NOSQL), Data APIs
  • Experience with Azure ML - data ingestion, storage, pre-processing, model development and potentially deployment.
  • Experience with Manufacturing or Industrial Engineering projects is an added advantage.
  • Job location and reporting will be in Bangalore, India
  • Strategic Context and Challenges :

  • Should coordinate with engineers located at different global technical centers.
  • Should coordinate with external suppliers like consultants and IT support and services.
  • Should be ready to travel to different locations for meetings / trainings.
  • Deliverables :

  • Should take responsibility and ownership of the deliverables of self and supporting team.
  • Should be able to understand and interpret the solution outcomes
  • Should do conclusive analysis of the results.
  • Should make quality and timely delivery of the tasks and projects.
  • Should learn and create new methods to execute different tasks and multiple projects at same time.
  • Should possess good communication skills.
  • Should be keen to learn / explore new methods / processes.
  • Should adapt to changing business scenario.
  • Core Responsibility :

  • Execution of Identified business problem from Technical and business / sales team.
  • Data Integration should complement with formulated AI / ML problem and brainstorm possible AI / ML solutions.
  • Assess feasibility and value.
  • Execution / implementation of the selected solution on his / her own.
  • Deployment, maintenance, and life-cycle management.
  • Functional Competencies :

  • Good exposure in Data Collection with Hardware like IMU sensors, ECU, Raspberry Pi, Micro-controllers, IoT devices, Cameras, Add-on boards.
  • PLM and Cloud infrastructure platforms
  • Project management tools - MS Office tools
  • Education and Work Experience :

  • ME / MTech / MCA. in Data Science or related Engineering (Desired)
  • BE / B.Tech in Computer Science or Electronics Engineering (Mandatory
  • At least 2 - 4 years of working experience in the relevant field
  • Experience with Manufacturing or Industrial Engineering projects is an added advantage
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