Data Engineer

About the role

Job Purpose

Combine SQL and visualization with stakeholder management to improve Data Quality, Data Governance and Master Data Management. Take ownership of business outcomes and identify practical automation and AI-assisted improvements.

Key Responsibilities

• Write and optimize SQL queries to extract, transform, validate and analyze data from multiple sources.
• Understand cross-functional business requirements and translate them into data solutions.
• Support MDM standardization, mapping, validation and maintenance.
• Improve Data Quality and Data Governance standards.
• Identify data inconsistencies and process gaps and drive resolution.
• Automate repetitive data and business processes.
• Explore AI and Generative AI applications for analysis, productivity, data quality and automation.
• Investigate ambiguous problems and evaluate practical alternative solutions.

Required Experience

5–9 Years

Technical / Functional Skills

Requirements

• Strong SQL writing, debugging and optimization.
• Cross-functional stakeholder management and basic-to-intermediate Excel.
• Basic MDM understanding and working knowledge of Data Quality/Data Governance.
• Hands-on Power BI, Tableau or another visualization tool.
• Experience implementing automation opportunities.
• Basic understanding of AI/Generative AI capabilities, limitations and uses.
• Independent ownership, analytical curiosity and business-outcome orientation.

Preferred Skills & Qualifications

• Microsoft Fabric and Power BI.
• Enterprise data platforms, pipelines and multiple source systems.
• Metadata, lineage, reconciliation and data-quality monitoring.
• Hands-on AI tools for data analysis, automation and productivity, including AI-assisted development or analytics.

Qualification & Preferred Industry Exposure

Required qualification: B.E. / B.Tech or equivalent engineering degree from a recognized institution.