Mercedes-Benz Research and Development India Private Limited
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Bengaluru · On-site · 4-7 Yrs · Sep 27
Transportation Equipment Manufacturing · 10000+ Employees · Stuttgart, Germany
Mercedes-Benz Group AG is one of the world's most successful automotive companies. With Mercedes-Benz AG, we are one of the leading global suppliers of premium and luxury cars and vans. Mercedes-Benz Mobility AG offers financing, leasing, car subscription and car rental, fleet management, digital services for charging and payment, insurance brokerage, as well as innovative mobility services.
Hiring: Engineering
What employees say
+ Good place to learn Work life balance
− Too much politics Learning depends on which project you are
More reviews on the company profile.
Interview experience · Python Developer
Nice Process 1. HR, 2. Test, 3. Project Head, 4. CEO Just basic intro and a test containing a word file, ask to build a app in fast api, Submitted and got response, The call with project head about role and responsi
Easy difficulty · Bengaluru · 74 reports
More interview insightsJob description
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.
Responsibilities
- Job Description – ADAS Data & Analytics Engineer (4–7 Years)
- 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.
- 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
- 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
- Build dashboards using Power BI / Tableau / similar tools
- 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
- 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.
- 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
- 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
- Build dashboards using Power BI / Tableau / similar tools
- Design KPIs and visualize insights for stakeholders
- Ensure clear and structured storytelling of data insights
Qualifications
- Strong Python skills (Pandas, NumPy, data processing)
- Good SQL knowledge (RDBMS/NoSQL basics)
- Exposure to cloud environments (GCP/AWS preferred)
- Knowledge of dashboarding tools (Power BI/Grafana/Tableau)
- Understanding of time-series data & signal processing
- Exposure to ML basics (classification, model usage)
- Knowledge of containerization (Docker/Kubernetes)
- 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
- Job Description – ADAS Data & Analytics Engineer (4–7 Years)
- Strong Python skills (Pandas, NumPy, data processing)
- Good SQL knowledge (RDBMS/NoSQL basics)
- Exposure to cloud environments (GCP/AWS preferred)
- Knowledge of dashboarding tools (Power BI/Grafana/Tableau)
- Understanding of time-series data & signal processing
- Exposure to ML basics (classification, model usage)
- Knowledge of containerization (Docker/Kubernetes)
- 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
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Job application FAQ
Last updated 30 September 2026
- How do I apply for ADAS Data & Analytics Engineer at Mercedes-Benz Research and Development India Private Limited?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Mercedes-Benz Research and Development India Private Limited may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this ADAS Data & Analytics Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is ADAS Data & Analytics Engineer remote or on-site in Bengaluru, Karnataka?
- This listing is marked on_site with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this ADAS Data & Analytics Engineer role at Mercedes-Benz Research and Development India Private Limited?
- This is a mid-level ADAS Data & Analytics Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.