Data Analyst

Data Analyst

Job Location: Bangalore ( Work from Office)

Experience: 3+ to 6 years

Only candidates ready to join immediately should apply.

Education: Bachelors or Masters in Computer Science, Electrical/Electronic Engineering from tier-I universities

Relevant Experience Required: 3 years to 6years

Skill Requirements:

Essential Skills:

• Python expertise with Pandas, NumPy, and data processing libraries.

• Experience with ADAS data or time-series event-triggered datasets.

• Knowledge of data synchronization techniques for multi-sensor systems.

• Familiarity with containerized workflows (Docker/Kubernetes) and cloud environments (AWS/GCP).

• Experience handling Parquet files and optimizing large-scale data processing.

• Expertise in Grafana and KPI-based dashboard development.

• Strong understanding of Git-based toolchains and version control practices.

• Ability to collaborate with SMEs for data extraction based on formulas and timestamps.

Preferred Qualifications:

• Experience in automotive/ADAS validation workflows.

• Knowledge of time-series databases and cloud-based data streaming.

• Familiarity with SQL and NoSQL databases for structured event data management.

Key Job Responsibilities:

1. Data Processing & Synchronization:

• Work with ADAS event-triggered data from multiple sources with different sampling rates.

• Handle time synchronization across networks and manage missing timestamps.

• Extract event data using timestamps and formulas defined by Subject Matter Experts (SMEs).

2. Scripting & Automation:

• Develop Python scripts for data extraction, transformation, and analysis.

• Process data using containerized workflows to convert raw formats into Parquet.

• Optimize scripts for scalability and efficient execution on large datasets.

3. Data Storage & Cloud Integration:

• Work with Parquet-formatted data stored in Git-hosted toolchains.

• Support cloud migration from existing platforms to Google Cloud Platform (GCP).

4. Dashboarding & KPI Visualization:

• Develop Grafana dashboards to present analysis results using KPI formulas.

• Enable real-time monitoring and visualization of ADAS test results.

5. Collaboration & Documentation:

• Work with SMEs, data engineers, and validation teams to define data extraction rules.

• Maintain documentation for scripts, analysis methods, and dashboard configurations.

Pay: ₹600,000.00 - ₹1,500,000.00 per year

Benefits:

• Flexible schedule
• Provident Fund

Work Location: In person