Data Scientist

2 weeks ago


Bengaluru, Karnataka, India Mercedes-Benz Full time

Tätigkeitsbereich:
Forschung & Entwicklung incl

DesignFachabteilung:
PE SW & EE - ATG & Advanced EngineeringGesellschaft:Mercedes-Benz Research and Development India Private LimitedStandort:Mercedes-Benz Research and Development India, BangaloreStartdatum:sofortVeröffentlichungsdatum:4Stellennummer:MER1H0AArbeitszeit:Vollzeit Join usAufgaben


BackgroundMercedes 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 designExperience 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 ClustersHands on experience in workflow schedulers like Airflow etc.,Good knowledge on microservices is desiredExperience with Docker containers is a plus.

Experience in creation of CI/CD pipeline is an added advantageWorking experience on the cloud environment Azure, AWS is an added advantageExcellent problem solving skillsExperience 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 clustersDevelop scalable solutions and improve efficiency and the reliability of the existing applicationDevelop and deploy new features based on the business needIdeates and improvises on the requirements through continuous innovation and application of new techniques and methodsUnderstand new features requirement from counterparts, breakdown of task and participate in planningGood communication skills and ability to work in & contribute as a good team playerQualifikationen


BackgroundMercedes 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 designExperience 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 ClustersHands on experience in workflow schedulers like Airflow etc.,Good knowledge on microservices is desiredExperience with Docker containers is a plus.

Experience in creation of CI/CD pipeline is an added advantageWorking experience on the cloud environment Azure, AWS is an added advantageExcellent problem solving skillsExperience 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 clustersDevelop scalable solutions and improve efficiency and the reliability of the existing applicationDevelop and deploy new features based on the business needIdeates and improvises on the requirements through continuous innovation and application of new techniques and methodsUnderstand new features requirement from counterparts, breakdown of task and participate in planningGood communication skills and ability to work in & contribute as a good team playerBenefitsMit­arbeiter­rabatte möglichGesund­heits­maß­nahmenMit­arbeiter­handy möglichEssens­zulagenBetrieb­liche Alters­ver­sorgungHybrides Arbeiten möglichMobilitäts­angeboteMit­arbeiter EventsCoachingFlexible Arbeits­zeit möglichGute An­bindungKantine, CaféBetriebs­arztMit­arbeiter­beteili­gung möglichBarriere­frei­heitWe need your consent to load the Youtube service

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