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Popular data role in Bangalore with broad AI and platform requirements increases competition.
Core data engineering and analytics skills are broadly transferable across industries.
Mandatory Denodo/Dataiku/Power BI and SQL with a 3-year minimum enforces moderate filters.
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Lead design and development of high-quality, governed datasets enabling self-service analytics and reporting across the organization.
Develop and support AI-powered solutions including intelligent agents and generative AI models using platforms like Microsoft Copilot, Denodo AI SDK, and Dataiku to enhance data discovery and automation.
Collaborate with stakeholders to evolve the data democratization strategy and ensure data access governance, quality, and performance standards are met.
Minimum 3 years experience with self-service and analytics platforms such as Denodo, Dataiku, and Power BI.
Bachelor’s degree in Information Systems, IT, Computer Science, Engineering, or related field.
Strong proficiency in SQL and PL/SQL; working knowledge of data modeling tools (ERwin/ER Studio) and data engineering concepts.
Hands-on experience with AI platforms like Microsoft Copilot Studio or AWS Bedrock for developing intelligent agents and automation workflows.
Experienced data engineer with expertise in integrating advanced analytics, machine learning, deep learning, and generative AI into enterprise data platforms.
Capable of translating complex data and AI capabilities into scalable, governed self-service tools for diverse business users.
Comfortable working cross-functionally with leadership, architecture teams, and business stakeholders to drive adoption and continuous improvement of data democratization initiatives.