Software Engineer

Saint-Gobain Group in India; Chennai District; On-site; INR 900,000 - 1,200,000; Full time

Job summary

Saint-Gobain Group in India is seeking a Data Visualization Engineer to design and maintain dashboards that drive industrial performance. The role requires strong expertise in Grafana and SQL to build interactive, user-friendly dashboards and manage data integration.

The ideal candidate has 2–5 years of experience in data visualization, a strong analytical mindset, and the ability to communicate effectively with both technical and non-technical stakeholders.

Qualifications

• 2–5 years of experience in data visualization or data engineering.
• Strong analytical mindset and ability to understand complex datasets.
• Ability to communicate with both technical and non-technical stakeholders.

Responsibilities

• Build advanced, user-friendly dashboards using Grafana.
• Connect Grafana to various SQL data sources.
• Develop panel and data source plugins as needed.
• Optimize dashboard loading time and resource usage.
• Provide support and training to end-users.

Skills

Strong experience with Grafana

Proficiency in SQL

Experience with APIs and JSON

DevOps practices

Good understanding of KPIs

Analytical mindset

Attention to detail

Tools

Grafana

PostgreSQL

MySQL

InfluxDB

Prometheus

Job description

Position Overview

We are looking for a Data Visualization Engineer with strong expertise in Grafana and solid skills in SQL databases. The candidate will design, develop, and maintain advanced dashboards that support industrial performance and data‑driven decision‑making. The candidate will also help us extend Grafana where needed—up to developing custom plugins when out‑of‑the‑box features don’t suffice.

Key Responsibilities

Dashboard Development (Grafana)

• Build advanced, user‑friendly dashboards using Grafana.
• Create interactive panels, data transformations, variables, alert rules, and dynamic visualizations.
• Ensure dashboards are performant, well‑structured, and aligned with operational requirements.
• Standardize dashboards and templates for reuse across all Glass sites.

Data Integration & SQL Development

• Connect Grafana to various SQL data sources (PostgreSQL, MySQL, etc.) or Ignition Gateway, or API.
• Write optimized SQL queries, views, and stored procedures to support dashboards.
• Ensure data quality, integrity, and alignment with business KPIs.

Grafana Plugin Development (as needed)

• JavaScript/TypeScript (preferred).
• Develop panel, data source, or app plugins when required (custom UX, business logic, or connectors).
• Integrate third‑party JS libraries with modern build tooling (Webpack/ESBuild), respect CSP, and follow Grafana’s plugin lifecycle (signing/versioning).

Performance & Optimization

• Optimize dashboard loading time, query execution, and backend resource usage.
• Manage large volumes of time‑series or industrial data efficiently.
• Identify and resolve data inconsistencies or missing data problems.

Collaboration & Support

• Work closely with DTI teams (Digital & IT, experts team) and plant process engineers.
• Provide support and training to end‑users on Grafana and dashboard best practices.
• Document dashboards, data models, and data flows.

Governance & Continuous Improvement

• Contribute to the definition of visualization standards and share best practices with plant Grafana developers.
• Participate in data visualization strategy and industrial digitalization initiatives.
• Evaluate new Grafana plugins, data sources, and improvements in monitoring or analytics setups.

Required Skills

• Strong experience with Grafana (dashboards, panels, variables, alerts, plugins).
• Proficiency in SQL (query optimization, data modeling, indexing).
• Experience with industrial data sources is a plus.
• Experience with DevOps practices (Grafana provisioning, Git, CI/CD).
• Ability to work with APIs, JSON, and external data connectors.
• Good understanding of KPIs, data visualization principles, and user experience.
• Autonomy, problem‑solving mindset, and attention to detail.
• Ability to communicate with both technical and non‑technical stakeholders.

Nice‑to‑Have Skills

• Experience with InfluxDB, Prometheus, Loki, Elastic, or Databricks.
• Familiarity with industrial environments, SCADA/MES systems, or OT data.
• Knowledge of Python for automation or data processing.
• Understanding of monitoring, observability, and time‑series analysis.

Candidate Profile

• 2–5 years of experience in data visualization, data engineering, or monitoring.
• Strong analytical mindset and ability to understand complex datasets.
• Passion for transforming raw data into actionable insights.
• Comfortable working in a fast‑moving industrial or digital transformation context.