Data & AI Engineers / Architects

Customer is seeking skilled and motivated professionals to join our project team supporting Customer across multiple data and AI product domains. The candidates will be part of a dynamic, cloud-native data engineering and analytics environment, working alongside domain leads to support global initiatives.

Key Responsibilities:

• Work on the development and enhancement of data products using modern cloud-based technologies.
• Collaborate with Customer domain leads and stakeholders to translate requirements into scalable data solutions.
• Build and maintain data pipelines using AWS and Azure cloud platforms.
• Support integration with Snowflake-based data warehouses.
• Ensure solutions are well-documented, scalable, and aligned with enterprise architecture principles.
• Participate in discussions related to data architecture, best practices, and governance.

Technology Stack:

• Cloud Platforms:

  AWS (Primary), Azure (Secondary)

• Data Platforms:

  Snowflake

• Languages & Tools:

  Python, SQL, Spark (preferred), Terraform (optional)

• Other Tools:

  Git, CI/CD tools, JIRA, Confluence

Required Skills & Experience:

• 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.
• Hands-on experience with

  Snowflake

  is essential.
• Ability to work with distributed teams and collaborate directly with stakeholders.
• Strong problem-solving, communication, and documentation skills.