Background Mercedes Benz cars are equipped with Advanced Driver Assistance Systems (ADAS) and continuously new features/technologies are added in these systems to add more intelligence in them. The development or the customer cars then collect various vehicle, sensor and environment data. These vehicles at the end of their test drives or upon satisfying some trigger conditions will upload different sensor and vehicle data that are logged in binary formats (in TBs) into a Big Data cluster. The data engineering team has the responsibility to provide a x7 pipeline, which will ingest the data to the cluster, extract and transform to readable format. This data is further analysed and the performance of the ADAS systems are monitored. Skill Requirements: Essential Skills and experience: - Excellent Programming skills in Python with object oriented design - Experience in designing solution for business applications and deployment of the same. - Hands on experience in working with relational SQL and noSQL DB, postgres, mongoDB etc. - Hands on experience on developing ETL solutions on Big Data Clusters like MAPR Clusters - Hands on experience in workflow schedulers like Airflow etc., - Good knowledge on microservices is desired - Experience with Docker containers is a plus. - Experience in creation of CI/CD pipeline is an added advantage - Working experience on the cloud environment Azure, AWS is an added advantage - Excellent problem solving skills - Experience in the automotive field and exposure of multi-cultural environment is an added advantage Key Job Responsibilities: - Architecting, developing and deploying end to end pipeline to ingest various ADAS systems data into the clusters - Develop scalable solutions and improve efficiency and the reliability of the existing application - Develop and deploy new features based on the business need - Ideates and improvises on the requirements through continuous innovation and application of new techniques and methods - Understand new features requirement from counterparts, breakdown of task and participate in planning - Good communication skills and ability to work in & contribute as a good team player Background Mercedes Benz cars are equipped with Advanced Driver Assistance Systems (ADAS) and continuously new features/technologies are added in these systems to add more intelligence in them. The development or the customer cars then collect various vehicle, sensor and environment data. These vehicles at the end of their test drives or upon satisfying some trigger conditions will upload different sensor and vehicle data that are logged in binary formats (in TBs) into a Big Data cluster. The data engineering team has the responsibility to provide a x7 pipeline, which will ingest the data to the cluster, extract and transform to readable format. This data is further analysed and the performance of the ADAS systems are monitored. Skill Requirements: Essential Skills and experience: - Excellent Programming skills in Python with object oriented design - Experience in designing solution for business applications and deployment of the same. - Hands on experience in working with relational SQL and noSQL DB, postgres, mongoDB etc. - Hands on experience on developing ETL solutions on Big Data Clusters like MAPR Clusters - Hands on experience in workflow schedulers like Airflow etc., - Good knowledge on microservices is desired - Experience with Docker containers is a plus. - Experience in creation of CI/CD pipeline is an added advantage - Working experience on the cloud environment Azure, AWS is an added advantage - Excellent problem solving skills - Experience in the automotive field and exposure of multi-cultural environment is an added advantage Key Job Responsibilities: - Architecting, developing and deploying end to end pipeline to ingest various ADAS systems data into the clusters - Develop scalable solutions and improve efficiency and the reliability of the existing application - Develop and deploy new features based on the business need - Ideates and improvises on the requirements through continuous innovation and application of new techniques and methods - Understand new features requirement from counterparts, breakdown of task and participate in planning - Good communication skills and ability to work in & contribute as a good team player