ADAS Data & Analytics Engineer

Taleo; Bengaluru; On-site; INR 1,400,000 - 2,100,000; Full time

Job summary

Mercedes-Benz Research and Development India Private Limited in Bengaluru is seeking a Data & Analytics Engineer with 4–7 years of experience to work on ADAS validation, data processing, and analytics workflows, handling large-scale vehicle data and building automation pipelines.

You will generate insights to support decision-making, design KPIs, and collaborate with validation teams to continuously improve analytics use cases, using Python, SQL, and cloud platforms.

Qualifications

• Bachelor’s/Master’s in Computer Science, Electronics, or related field.
• 4–7 years of relevant experience in Data Analytics / Data Engineering.
• Strong analytical and problem-solving skills.

Responsibilities

• 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.
• Develop scripts and workflows for automated data processing and reporting.

Skills

SQL

Large-scale data handling

Cloud platforms

Dashboarding tools

Education

CS/Electronics degree

Tools

Docker/Kubernetes

Job description

Description

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
• 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
• Design KPIs and visualize insights for stakeholders
• Ensure clear and structured storytelling of data insights
• 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

• 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
• Strong analytical and problem-solving skills
• Ability to work in a dynamic environment
• Good collaboration and communication skills
• Structured thinking and ownership mindset

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/Flyt e or similar) for pipeline execution
• 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
• Design KPIs and visualize insights for stakeholders
• Ensure clear and structured storytelling of data insights
• 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

• 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
• Strong analytical and problem-solving skills
• Ability to work in a dynamic environment
• Good collaboration and communication skills
• Structured thinking and ownership mindset

Organization

Mercedes-Benz Research and Development India Private Limited

Primary Location

India-Karnataka-Bangalore

Work Locations

Brigade Tech Gardens, Katha No. 119 Brigade Tech Gardens, Katha No. 119 Kundalahalli Village, K.R. Puram Hobli, Ward No. 85 Bangalore 560037