Cloud Data Engineer - Snowflake, DBT, Airflow and AWS.
Core
Design, develop, and optimize scalable cloud-based data pipelines supporting advanced analytics and data warehousing initiatives.
Role type
Senior Cloud Data Engineer
Builds
Scalable data pipelines, data transformation models, and optimized data warehouses for enterprise analytics
Domain
Cloud data engineering, data warehousing, and big data infrastructure
Deliverable
production ML models | product features | dashboards & analysis
Required skills
AWS services (S3, Lambda, Glue, EC2), Apache Airflow, DBT, Snowflake, SQL, Python, Shell scripting, Terraform, CI/CD automation
Preferred skills
Kubernetes, DataOps tools, monitoring platforms (CloudWatch, Prometheus, Grafana), Java, Scala, Spark, Presto, Kafka
Technologies
AWS, Snowflake, Apache Airflow, DBT, Terraform, CloudFormation, Git, Jenkins, Spark, Kafka
Responsibilities
Design and implement scalable data pipelines using AWS; Develop and maintain Apache Airflow workflows for data automation; Build modular data transformation logic with DBT; Manage and optimize Snowflake data warehouses; Automate deployment and infrastructure provisioning; Troubleshoot pipeline failures and optimize performance
Seniority
Senior, hands-on IC
