Design, build and configure applications to meet business process and application requirements.
Must have skills :
Data Warehouse ETL Testing
Good to have skills :
NA
Minimum
3
year(s) of experience is required
Educational Qualification :
15 years full time education
Summary: As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with team members to understand project needs, developing application features, and ensuring that the applications function seamlessly within the business environment. You will engage in problem-solving discussions, contribute innovative ideas, and refine application functionalities to enhance user experience and operational efficiency. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Assist in the documentation of application processes and workflows. - Engage in continuous learning to stay updated with industry trends and technologies. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Warehouse ETL Testing. - Strong understanding of data integration processes and methodologies. - Experience with various ETL tools and frameworks. - Ability to analyze and validate data for accuracy and completeness. - Familiarity with database management systems and SQL. Additional Information: - The candidate should have minimum 3 years of experience in Data Warehouse ETL Testing. - This position is based at our Mumbai office. - A 15 years full time education is required. Summary: Seeking a forward-thinking professional with an AI-first mindset to design, develop, and deploy enterprise-grade solutions using Generative and Agentic AI frameworks that drive innovation, efficiency, and business transformation. Roles & Responsibilities: Lead AI-driven solution design and delivery by applying GenAI and Agentic AI to address complex business challenges, automate processes, and integrate intelligent insights into enterprise workflows for measurable impact. Professional & Technical Skills: Strong grasp of Generative and Agentic AI, prompt engineering, and AI evaluation frameworks. Ability to align AI capabilities with business objectives while ensuring scalability, responsible use, and tangible value realization.
15 years full time education
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