Key Responsibilities

- Design, develop, and maintain enterprise databases using SQL Server and PostgreSQL.
- Manage database performance, optimization, backup, recovery, and troubleshooting activities.
- Develop and maintain reports, dashboards, and MIS solutions using SQL Server Reporting Services (SSRS), Power BI, and Tableau.
- Develop and manage ETL/data integration workflows using SQL Server Integration Services (SSIS).
- Support integration of data from multiple business applications and digital platforms.
- Design and support scalable database architectures for enterprise digital tools and applications.
- Work with cloud-based Data platforms, Data lakes, and Databricks environments for modern data management and analytics.
- Analyse project and business data to identify trends, risks, opportunities, and efficiency improvement areas.
- Explore and support AI/ML-based analytics initiatives for predictive insights and smarter decision-making.
- Collaborate with cross-functional teams including IT, Engineering, Projects, Business, and Digital Transformation teams.
- Ensure data quality, data governance, security, and compliance with organizational standards.
- Provide technical support, troubleshooting,



and enhancement support for reporting and analytics systems.
- Prepare technical documentation, SOPs, data dictionaries, and user guidelines.

Coordinate with vendors and internal stakeholders for system improvements, integrations, and issue resolution.

Soft Skills & Competencies

- Excellent communication and interpersonal skills.
- Robust stakeholder coordination and collaboration ability.
- Good technical documentation and presentation skills.
- Ability to manage multiple priorities and work independently.
- Self-driven, proactive, and solution-oriented mindset.
- Strong learning attitude toward emerging technologies and digital transformation initiatives.

Preferred Skills (Good to Have)

- Experience in manufacturing, EPC, infrastructure, or industrial environments.
- Exposure to cloud platforms such as:
- Microsoft Azure
- Amazon Web Services

- Knowledge of Python or scripting for analytics automation.
- Familiarity with ERP and enterprise digital systems integration.
- Understanding of modern data engineering and business intelligence architecture.
- Exposure to AI/ML frameworks and predictive analytics use cases.

📌 Engineer / Sr. Engg - DATA & Digital Solutions (M&M IC) (West Bengal)
🏢 Larsen and Toubro (L&T)
📍 West Bengal