ADAS Data & Analytics Engineer

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)

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

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

• 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)

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]