Developer - Snowflake CoCo

Job description

Job Description #body.unify div.unify-button-container .unify-apply-now: focus, #body.unify div.unify-button-container .unify-apply-#body.unify div.unify-button-container .unify-apply-now: focus, #body.unify div.unify-button-container .unify-apply- **Job Title:** Developer - Snowflake CoCo **City:** Chennai **State/Province:** Tamil Nadu **Posting Start Date:** 7/7/26 **Wipro Limited (NYSE:** WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. **Job Description:** Job Description Role Purpose & Overview The primary purpose of this role is to architect, build, and optimize innovative data solutions by leveraging advanced Snowflake technologies integrated with cutting-edge AI capabilities. The individual will be responsible for designing, developing, and debugging models, simulations, and data workflows that align precisely with the client’s and project requirements, ensuring seamless data operations within complex enterprise environments. In this position, you will engage deeply with Snowflake’s latest AI-empowered tools, including Snowflake CoCo, CoWork, and Cortex, to accelerate developer productivity and automate business processes. The role demands a blend of expert technical skills, a proactive approach to continuous learning, and collaborative problem-solving capabilities to deliver scalable, efficient data solutions that power business insights. **Key Contributions Include:** Developing and enhancing scalable data pipelines, performing robust data modeling and warehousing on the Snowflake Data Cloud platform to support complex analytics and reporting needs. Employing Snowflake CoCo to facilitate AI-driven SQL query generation, automate routine data engineering tasks, and optimize workflows for peak developer productivity. Utilizing Snowflake CoWork to implement AI-powered workflow automation, streamline reporting procedures, and generate actionable business insights through sophisticated AI agents. Exploring and applying Snowflake Cortex and Snowpark capabilities to harness prompt-engineered data querying, AI/ML analytics, and innovative use case developments. Collaborating with cross-functional teams and stakeholders to comprehensively translate evolving business requirements into effective, agile data solutions. Leading initiatives for performance tuning, cost efficiency, and governance compliance within Snowflake environments to ensure optimal platform utilization and security. Championing AI adoption by integrating predictive analytics, automation strategies, and intelligent reporting within enterprise data platforms. ͏ Responsibilities and Expectations Architect, develop, and maintain end-to-end data solutions within the Snowflake ecosystem, ensuring alignment with best practices and project timelines. Leverage AI capabilities within Snowflake products (CoCo, CoWork, Cortex) to automate data workflows, enhance developer efficiency, and assist in complex SQL query generation and optimization. Design and implement automated reporting systems and AI-powered business analysis tools to accelerate data-driven decision making. Work closely with technical and business stakeholders to gather requirements, troubleshoot issues, and iterate on solutions to maximize business value. Ensure stringent data governance, security compliance, and regulatory adherence as part of solution design and operation. Drive continuous improvement by participating in code reviews, skill development activities, and championing innovative AI use cases within data engineering domains. Maintain clear and proactive communication channels to manage expectations, address challenges, and share status updates effectively across teams. Support skill certification efforts and actively engage in learning to stay current with Snowflake platform advancements and AI technologies. Required Technical Expertise 3 to 8 years of professional experience in Snowflake development, particularly in data engineering, data modeling, and ETL/ELT processes. **Proficiency in Snowflake's AI ecosystem:** hands-on experience with Snowflake CoCo (developer assistant), CoWork (AI agents for operations), and Cortex for AI-driven querying and analysis. Strong command of SQL writing and performance tuning, with familiarity working across leading cloud platforms such as AWS, Azure, or Google Cloud Platform. Demonstrated understanding of generative AI concepts and practical skills in prompt engineering to enable effective AI interactions within data workflows. Experience scripting with Python or similar languages for automating data engineering tasks is highly valued. Ability to analyze complex data problems, apply innovative solutions, and optimize workflows for efficiency and accuracy. ͏ Deliverables and Performance Metrics No. Performance Parameter Measure 1. Design and development of AI-driven data solutions Adherence to project schedules and milestones, achieving zero errors during onboarding and solution implementation phases, and maintaining high throughput percentages. 2. Quality control and customer satisfaction (CSAT) Ensuring on-time delivery, minimal corrections post-release, first-time-right implementations with no critical defects in production, strict compliance with bi-directional traceability matrices, and successf