Sr Cloud Data Engineer

Purpose:

Seeking a Senior Cloud Data Engineer to help build and evolve our Enterprise Data Platform, enabling data-driven decision making, AI innovation, and cloud modernization across the organization.

Must have Skills:

• Strong experience with Snowflake Native Pipelines, Native Apps, Streamlit, and Python-based container services
• Hands-on experience with Snowflake Cortex AI and AI-driven solutions
• Proficiency in Python and experience with Java, Go, or TypeScript/JavaScript
• Deep expertise in AWS (S3, Lambda, EC2, RDS, IAM, CloudFormation, Terraform)
• Experience building data platforms, ETL/ELT pipelines, and cloud-native applications
• Strong understanding of CI/CD, automation, security, and IAM policies

Responsibilities:

• Design and develop enterprise-scale cloud data solutions.
• Build resilient, secure, and high-performing data platforms.
• Develop data migration, data delivery, and ML pipelines.
• Partner with Data Engineering, Architecture, Product, and Data Science teams.
• Drive automation through CI/CD, Infrastructure as Code, and cloud-native tooling.
• Help shape next generation of AI and analytics capabilities.

Qualifcations:

• 6+ years in Data Engineering, Platform Engineering, Analytics, or related fields
• 4+ years of hands-on AWS experience
• Strong SQL and Python development skills
• Bachelor's degree in Computer Science, Engineering, or related field
• Snowflake, Redshift, or modern cloud data warehouses
• Kafka or enterprise streaming platforms
• Kubernetes, Docker, or AWS Fargate
• AWS migrations and cloud modernization initiatives
• Strong IAM, security, and cloud governance experience