Tätigkeitsbereich:Forschung & Entwicklung incl. Design
Fachabteilung:Field Analytics & Automation
Gesellschaft:Mercedes-Benz Research and Development India Private Limited
Standort:Mercedes-Benz Research and Development India Private Limited, Bangalore
Startdatum:sofort
Veröffentlichungsdatum:28.09.2026
Stellennummer:MER00043P2
Arbeitszeit:Vollzeit
Aufgaben
Job Description – ADAS Data & Analytics Engineer (4–7 Years)
Role Overview
We are looking for a Data & Analytics Engineer with 4–7 years of experience to work on ADAS validation, data processing, and analytics workflows. The role involves handling large-scale vehicle data, building automation pipelines, and generating insights to support decision-making.
Key Responsibilities
Data Processing & Analysis
- Work with ADAS/event-based datasets from multiple sources (signals, logs, video-derived data)
- Perform data extraction, cleaning, and transformation using Python
- Analyze time-series data and derive meaningful insights for validation use cases
Automation & Workflow Development
- Develop scripts and workflows for automated data processing and reporting
- Identify opportunities to automate repetitive analytics tasks using ML or rule-based logic
- Work with orchestration tools (Airflow/Flyte or similar) for pipeline execution
Data Engineering & Cloud
- Handle large datasets (e.g., Parquet) and optimize data pipelines for performance
- Work with cloud platforms (preferably GCP/AWS) for data storage and processing
- Integrate APIs and databases for data access and processing
Visualization & Reporting
- Build dashboards using Power BI / Tableau / similar tools
- Design KPIs and visualize insights for stakeholders
- Ensure clear and structured storytelling of data insights
Collaboration & Domain Work
- Work closely with validation teams and SMEs to understand data requirements
- Support ADAS function analysis and validation workflows
- Contribute to continuous improvement of analytics use cases
Required Skills
Technical Skills
- Strong Python skills (Pandas, NumPy, data processing)
- Good SQL knowledge (RDBMS/NoSQL basics)
- Experience with large-scale data handling and processing
- Exposure to cloud environments (GCP/AWS preferred)
- Knowledge of dashboarding tools (Power BI/Grafana/Tableau)
Valuable to Have
- Experience in ADAS / automotive domain
- Understanding of time-series data & signal processing
- Exposure to ML basics (classification, model usage)
- Knowledge of containerization (Docker/Kubernetes)
Qualifications
- Bachelor’s/Master’s in Computer Science, Electronics, or related field
- 4–7 years of relevant experience in Data Analytics / Data Engineering
Behavioral Expectations
- Strong analytical and problem-solving skills
- Ability to work in a dynamic environment
- Good collaboration and communication skills
- Structured thinking and ownership mindset
Qualifikationen
Job Description – ADAS Data & Analytics Engineer (4–7 Years)
Role Overview
We are looking for a Data & Analytics Engineer with 4–7 years of experience to work on ADAS validation, data processing, and analytics workflows. The role involves handling large-scale vehicle data, building automation pipelines, and generating insights to support decision-making.
Key Responsibilities
Data Processing & Analysis
- Work with ADAS/event-based datasets from multiple sources (signals, logs, video-derived data)
- Perform data extraction, cleaning, and transformation using Python
- Analyze time-series data and derive meaningful insights for validation use cases
Automation & Workflow Development
- Develop scripts and workflows for automated data processing and reporting
- Identify opportunities to automate repetitive analytics tasks using ML or rule-based logic
- Work with orchestration tools (Airflow/Flyte or similar) for pipeline execution
Data Engineering & Cloud
- Handle large datasets (e.g., Parquet)
and optimize data pipelines for performance
- Work with cloud platforms (preferably GCP/AWS) for data storage and processing
- Integrate APIs and databases for data access and processing
Visualization & Reporting
- Build dashboards using Power BI / Tableau / similar tools
- Design KPIs and visualize insights for stakeholders
- Ensure clear and structured storytelling of data insights
Collaboration & Domain Work
- Work closely with validation teams and SMEs to understand data requirements
- Support ADAS function analysis and validation workflows
- Contribute to continuous improvement of analytics use cases
Required Skills
Technical Skills
- Robust Python skills (Pandas, NumPy, data processing)
- Good SQL knowledge (RDBMS/NoSQL basics)
- Experience with large-scale data handling and processing
- Exposure to cloud environments (GCP/AWS preferred)
- Knowledge of dashboarding tools (Power BI/Grafana/Tableau)
Good to Have
- Experience in ADAS / automotive domain
- Understanding of time-series data & signal processing
- Exposure to ML basics (classification, model usage)
- Knowledge of containerization (Docker/Kubernetes)
Qualifications
- Bachelor’s/Master’s in Computer Science, Electronics, or related field
- 4–7 years of relevant experience in Data Analytics / Data Engineering
Behavioral Expectations
- Strong analytical and problem-solving skills
- Ability to work in a dynamic environment
- Good collaboration and communication skills
- Structured thinking and ownership mindset
Benefits
Mitarbeiterrabatte möglich
Gesundheitsmaßnahmen
Mitarbeiterhandy möglich
Essenszulagen
Betriebliche Altersversorgung
Hybrides Arbeiten möglich
Mobilitätsangebote
Mitarbeiter Events
Coaching
Flexible Arbeitszeit möglich
Parkplatz
Betriebsarzt
Gute Anbindung
Barrierefreiheit
Kinderbetreuung
Kantine, Café
Kontakt Mercedes-Benz Research and Development India Private Limited
Brigade Tech Gardens, Katha No. 119560037 BengaluruDetails zum Standort
Dipti Nayak E-Mail:
[email protected]
📌 ADAS Data & Analytics Engineer (India)
🏢 Mercedes-Benz Group
📍 India