ADAS Data & Analytics Engineer

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.

What You Will Do

Work with ADAS/event-based datasets, perform data extraction, cleaning, and transformation, and analyze time-series data to derive meaningful insights.

Why It Might Be a Fit

The role involves handling large-scale vehicle data, building automation pipelines, and generating insights to support decision-making.

Requirements

• 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)