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).

1. 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 effective execution on large datasets.

1. 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).

1. Dashboarding & KPI Visualization:

- Develop Grafana dashboards to present analysis results using KPI formulas.
- Enable real-time monitoring and visualization of ADAS test results.

1. 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

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