Data Engineer

📋 Description Build ETL/ELT pipelines with Apache Beam and Snowpark. Build, monitor, and optimize data workflows with Airflow, Workflows, Snowflake Tasks. Manage data models and storage on BigQuery, Snowflake, PostgreSQL, and GCS. Implement data validation, tests, CI/CD, and monitoring for data integrity. Improve data system performance, reduce costs, and increase reliability. Partner with Engineers, PMs, and Data Scientists to deliver data solutions. 🎯 Requirements Bachelor's or Master's in CS/CE/Software Eng or equivalent. 2-5 years in Data Engineering with production data systems. ETL/ELT patterns, data modeling, partitioning, pipeline design. Cloud workloads (GCP) with Docker/Kubernetes and Terraform for IaC. Python and SQL; modular, maintainable code for heavy data processing. Automated tests, CI, documentation, and observability. 🎁 Benefits Course Reimbursement Program Open and transparent All Hands meetings with our CEO Pelmorex Learning Academy Mental health support with Inkblot Frequent employee pulse surveys Free online doctor visits with Maple