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Job Title: Data Engineer Group: E3 1.2 BU: CARIAD Business Unit India Location: Whitefield, Bangalore Experience: 3 - 6 Years Key Responsibilities - Data Processing & Engineering Build and optimize scalable ETL pipelines using PySpark & Databricks for large-scale automotive datasets; implement CI/CD pipelines for robust deployment. - Cloud & Big Data Work with Azure Data Lake, Synapse, ADF, and Databricks for data ingestion, transformation, and storage. - Analytics & Insights Perform statistical analysis, predictive modeling, and trend identification on vehicle test drive data, environmental parameters, and system KPIs. - Dashboard & Reporting Develop interactive dashboards with Elasticsearch, Power BI, KPI visualizations, and real-time analytics for engineering teams and stakeholders. - Collaboration & Documentation Partner with data scientists, vehicle engineers, and cross-functional stakeholders, ensuring transparent documentation of data pipelines and processes. Must-Have Skills - Data Engineering & Cloud : - PySpark, Databricks, Azure Data Lake, Azure Synapse, Azure Data Factory . - Proficiency in ETL pipeline design, optimization, and CI/CD implementation . - Analytics & Visualization : - Power BI , Elastic Search with expertise in KPI creation, Kibana and real-time reporting . - Ability to generate actionable insights from large-scale ADAS datasets . - Automotive Data Expertise : - Strong experience with vehicle trace data analysis (e.g., CAN, LIN, Ethernet). - Hands-on with CANoe or similar automotive tools for ECU communication protocol analysis. - Knowledge of ECU communication protocols (CAN, LIN, FlexRay, Ethernet) - Collaboration & Documentation : - Strong communication skills to work with cross-functional teams and document solutions effectively. Nice-to-Have Skills - AI/ML in ADAS domain : - Exposure to AI/ML model training, deployment, and performance monitoring . - Familiarity with Azure Machine Learning services . - Big Data & Streaming Analytics : - Knowledge of Kafka, Event Hubs, or real-time data streaming for automotive use cases. - Automation & DevOps : - Experience with CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins) for data workflows. Disclaimer: This job posting & Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.