Cloud Data Engineer - Snowflake, DBT, Airflow and AWS.

Cloud Data Engineer

Experience: 6+ Years

Mandatory Skills

• AWS (S3, Lambda, Glue, EC2)
• Snowflake
• DBT
• Apache Airflow
• SQL & Python
• CI/CD (Git, Jenkins, GitHub Actions/GitLab CI)
• Terraform / Infrastructure as Code

Key Responsibilities

• Design and implement scalable cloud-based data pipelines on AWS.
• Develop and manage ETL/ELT workflows using Airflow and DBT.
• Build, optimize, and maintain Snowflake data warehouses.
• Automate deployments and infrastructure using Terraform and CI/CD practices.
• Support data migration, integration, and cloud transformation initiatives.
• Monitor, troubleshoot, and improve data pipeline performance and reliability.
• Collaborate with stakeholders to define data solutions and architecture.

Preferred Skills

• Kubernetes, Spark, Kafka
• DataOps practices
• Monitoring tools (CloudWatch, Grafana, Prometheus, Splunk)
• AWS Solutions Architect / Data Analytics certifications

Required Competencies

• Strong solutioning and architecture experience
• Expertise in enterprise cloud data platforms
• Excellent communication and stakeholder management skills
• Experience delivering large-scale analytics and data engineering solutions on AWS and Snowflake.