Data Engineer

What you will be doing: Building and maintaining scalable data pipelines using Airflow to orchestrate data workflows that ingest, transform, and deliver data from various sources into Snowflake and Databricks. Designing and implementing data models in Snowflake that support analytics, reporting, and ML use cases with a focus on performance, reliability, and scalability. Developing infrastructure as code using Terraform to automate and manage cloud resources in AWS, ensuring consistent and reproducible deployments. Monitoring data pipeline health and implementing data quality checks to ensure accuracy, completeness, and timeliness of data as business needs evolve. Optimizing data processing workflows to improve performance, reduce costs, and handle growing data volumes efficiently. Troubles