AI-Augmented Data Engineer - P2 Data, Integration & Supplier Integrity in India, भारत

Role Overview

The AI-Augmented Data Engineer will build and maintain data pipelines, integrations, data-quality rules, and curated datasets that support business journeys, dashboards, and AI-enabled features.

The candidate must have hands-on data engineering experience and at least 1 year of AI-assisted delivery experience, using AI tools to generate and test SQL, pipeline code, and data-quality checks, followed by independent review and validation.

Key Responsibilities

• Build, maintain, and optimize ETL/ELT pipelines and data integrations.

• Develop SQL queries, Python scripts, and data transformation logic.

• Implement data-quality checks, source-to-target reconciliation, and exception handling.

• Prepare curated, reliable datasets for J5 journeys and P3 AI Document Intelligence.

• Integrate data from enterprise systems, APIs, and other sources.

• Use AI tools to generate SQL, pipeline code, and automated tests, then review and correct the output.

• Validate pipeline results against source data and investigate discrepancies.

• Perform performance checks and support production troubleshooting.

Mandatory Skills & Experience 

• 4+ years of overall experience in data engineering or a closely related technical role.

• Hands-on experience developing and maintaining data pipelines or ETL/ELT processes.

• Strong SQL skills, including joins, aggregations, transformations, and data validation.

• Python scripting for data processing and pipeline development.

• At least 1 year of hands-on AI-assisted delivery with concrete results from a real project.

• Experience using AI tools to generate or improve SQL/pipeline code and tests, followed by self-review.

• Knowledge of data-quality testing, reconciliation, and source-to-target validation.

• Ability to identify incorrect AI-generated logic and validate data accuracy before release.

Preferred Skills

• Databricks or Azure data services.

• Experience with enterprise or public-sector data platforms.

• OutSystems integrations.

• Claude, Codex, GitHub Copilot, Databricks Assistant, or OutSystems Mentor.

• Experience preparing curated datasets for dashboards, business applications, or AI solutions.