Data Engineer - (Snowflake, Python, SQL & React)

Senior Software Data Engineer responsible for building scalable data solutions using Snowflake, Python, SQL, and React. Works on ETL/ELT pipelines, data warehouses, and AI-powered applications while collaborating with cross‑functional teams and mentoring junior developers.

• Design, develop, and maintain scalable data engineering solutions using Python, SQL, and Snowflake
• Build and optimize ETL/ELT pipelines for large‑scale structured and unstructured datasets
• Develop modern web applications and data‑driven interfaces using React
• Leverage AI/ML technologies, including Generative AI and LLM integrations, to solve business problems
• Implement CI/CD pipelines and DevOps best practices for application and data platform deployments
• Establish and enforce coding standards, testing strategies, monitoring, and data governance practices
• Mentor junior developers and provide technical leadership across projects
• Collaborate with business stakeholders to understand requirements and deliver scalable, data‑driven solutions

• Bachelor’s degree in Computer Science, Information Technology, Software Engineering, Data Science, or a related technical field
• 4+ years of experience in Software Development, Data Engineering, or Data Platform Development
• Strong proficiency in Python, SQL, and Snowflake development
• Hands‑on experience designing and implementing ETL/ELT pipelines, Data Warehouses, and Data Lakes
• Experience building modern web applications using React.js and JavaScript/TypeScript
• Experience with Snowflake Tasks, Streams, Stored Procedures, Snowpark, and Dynamic Tables
• Experience with Git, CI/CD pipelines, Agile/Scrum methodologies, and automated testing frameworks
• Exposure to AWS services such as S3, Lambda, Glue, ECS, or Bedrock
• Strong verbal and written communication skills with stakeholder management experience