Job
Description
About The Role
Project Role :Data Engineer
Project Role Description :Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills :Snowflake Data Warehouse
Good to have skills :NA
Minimum 12 year(s) of experience is required
Educational Qualification :15 years full time education
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. 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 innovative solutions, and ensuring that applications are aligned with business objectives. You will engage in problem-solving discussions and contribute to the overall success of the projects you are involved in, while also focusing on continuous improvement and efficiency in application development. Roles & Responsibilities:- Expected to perform independently and become an SME.-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.
Collaborate with data analysts, business intelligence analysts, and other stakeholders to understand their data needs and requirements-Design and implement data warehousing solutions to enable efficient and effective data analysis and reporting.-Design, develop, and maintain data infrastructure, databases, and data pipelines.-Develop and implement ETL processes to extract, transform, and load data from/to various sources/targets-Implement and manage data security and access controls to protect data privacy and confidentiality.Professional & Technical
Skills:-
Must To Have Skills:Proficiency in Snowflake Data Warehouse.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.-Good to Have - AWS and python-Hands-on experience with Snowflake streams, task, Snowpipe, stored procedure, writing complex SQLs and Python scripts.-SQL and Python programming skill is highly desired-Good understanding of various AWS services – AWS Lambda , AWS Glue and AWS S3 will be an added advantage.-Proficiency in Python will be an added advantage.
Additional Information:- The candidate should have minimum 7 years of experience in Snowflake Data Warehouse.A 15 years full time education is required.Architect --
Must To Have Skills:Proficiency in Snowflake Data Warehouse.-Good to Have - AWS and python
Qualification 15 years full time education
