Data & AI Engineers / Architects

You are seeking skilled and motivated professionals to join the project team supporting Customer across multiple data and AI product domains. As a candidate, you will be part of a dynamic, cloud-native data engineering and analytics environment, collaborating with domain leads to assist in global initiatives. Your key responsibilities will include working on the development and enhancement of data products using modern cloud-based technologies. You will collaborate with Customer domain leads and stakeholders to translate requirements into scalable data solutions. Additionally, you will be responsible for building and maintaining data pipelines using AWS and Azure cloud platforms, supporting integration with Snowflake-based data warehouses, ensuring well-documented, scalable solutions aligned with enterprise architecture principles, and participating in discussions related to data architecture, best practices, and governance. The technology stack you will be working with includes Cloud Platforms such as AWS (Primary) and Azure (Secondary), Data Platforms like Snowflake, Languages & Tools such as Python, SQL, Spark (preferred), and Terraform (optional), as well as other tools like Git, CI/CD tools, JIRA, and Confluence. To excel in this role, you are required to have 3-8 years of experience in data engineering, analytics engineering, or cloud-native solution delivery. Strong experience in building data pipelines in AWS and/or Azure environments is essential. Hands-on experience with Snowflake is a must, along with the ability to work with distributed teams and collaborate directly with stakeholders. Strong problem-solving, communication, and documentation skills will be key to your success in this position.,