Data Engineer

Overview

Data Engineer role focused on improving data foundations for AI in Corporate Affairs, covering data readiness, quality, governance, and dataset maintenance.

What you'll do

• Assess data readiness for priority AI use cases by checking availability, usability, and quality.
• Define and document data sources, definitions, quality requirements, and usage constraints.
• Monitor data quality against agreed standards and support remediation of identified issues.
• Establish and maintain data management practices like metadata, lineage, documentation, and controls.
• Prepare, validate, and maintain datasets used in AI solutions so they stay current and structured.
• Coordinate data access, retention, privacy, and governance requirements for compliant AI use cases.
• Report data quality status, readiness risks, and remediation progress to stakeholders.

What you'll need

• Bachelor’s degree in Information Systems, Computer Science, Data Management, Business Analytics, Statistics, Engineering, or related field.
• 8-12 years of experience in data management, data governance, data quality, business intelligence/analytics support, or related roles.
• Extensive experience with AI platforms or toolchains including Claude, GPT, Azure OpenAI, Langfuse, or vector databases.
• Experience assessing data readiness and documenting data sources and definitions.
• Strong understanding of data quality dimensions, metadata, lineage, ownership, and controls.
• Experience partnering with IT, data owners, and business stakeholders across multiple workstreams.
• Understanding of data privacy, access controls, and retention requirements.

Details

• Location: Hyderabad (Office).