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