Data Engineer/BI Developer-DA&A

Job Title

Offshore AI & Automation SME – Data Engineer/BI Developer (DA&A)

Expected Work Experience

1 to 4 Years

Job Location

India

Job Summary

The AI & Automation SME – Data Engineer/BI Developer (DA&A) will design, develop, and implement AI-driven and automation solutions to improve MDM operations, data stewardship activities, support processes, and overall operational efficiency. Candidate must have relevant experience of 1 to 4 Years. The role focuses on leveraging data automation and AI, including AI test automation with Opkey and related tools, to enhance data management, analytics, and operational workflows in a scalable and reliable manner.

Key Responsibilities

• Develop AI-powered solutions for MDM operations and support processes.

• Identify automation opportunities across data management workflows and DA&A processes.

• Design intelligent monitoring and alerting frameworks to track data quality, system performance, and process health.

• Implement GenAI, ML, and NLP-based use cases for data quality and stewardship to improve accuracy, consistency, and completeness of data.

• Build automated incident resolution and recommendation engines to reduce manual intervention and improve response times.

• Develop dashboards and analytics for operational insights, enabling data-driven decision-making for MDM and DA&A stakeholders.

• Collaborate with MDM, CDI, and CDQ teams to improve productivity and streamline cross-functional data processes.

• Drive innovation initiatives related to data management automation, AI test automation, and advanced analytics.

• Work with Data Engineer/BI Developer teams to integrate AI and automation solutions into existing data pipelines, BI reports, and analytics platforms.

• Support AI test automation initiatives using Opkey or similar tools to ensure robustness and reliability of AI and data automation solutions.

• Ensure solutions follow best practices in data engineering, security, performance, and maintainability.

• Document solution designs, workflows, and operational procedures for ongoing support and knowledge sharing.

Other Capabilities

• Ability to work effectively in offshore, distributed, and cross-functional teams.

• Strong communication skills to collaborate with business, data, and technology stakeholders.

• Proactive mindset to identify improvement opportunities in MDM, DA&A, and automation processes.

• Adaptability to learn and work with new AI, automation, and data technologies as needed.

• Focus on operational excellence, continuous improvement, and innovation in data management and analytics.

Qualifications and Skills

• Hands-on experience in AI, Machine Learning, and Automation solutions.

• Experience building GenAI-based enterprise applications and integrating them into data workflows.

• Knowledge of MDM processes and the data management lifecycle, including data stewardship and data quality practices.

• Experience with Python, APIs, workflow automation, and cloud platforms (such as Azure or similar).

• Strong analytical and problem-solving capabilities, with the ability to translate business requirements into AI and automation solutions.

• Familiarity with data engineering concepts, BI development, and DA&A practices.

• Experience with AI test automation, preferably using Opkey or similar automation tools.

• Preferred: Experience with Informatica CLAIRE AI.

• Preferred: Knowledge of Informatica MDM, CDI, and CDQ.

• Preferred: Experience with Azure AI, OpenAI, Copilot, or similar AI platforms.

• Preferred: Experience building intelligent data stewardship or data quality solutions.