Senior Data Engineer (GCP • Python • Iceberg • Delta Lake • Kafka • Snowflake • Databricks)

📋 Description

• Design and implement the Delta Lake write layer using Iceberg UniForm to maintain dual Delta and
• Build scalable GCS-to-BigQuery ingestion pipelines for structured operational datasets.
• Develop robust data engineering solutions using Python and Apache Spark.
• Implement Kafka-based change data capture (CDC) patterns for real-time and near-real-time data
• Design reusable, modular data-sharing adapters and components that support scalable lakehouse
• Develop data lineage, dependency tracking, and metadata capabilities to improve data governance and

🎯 Requirements

• 6+ years of proven enterprise-level data engineering experience with strong hands-on expertise in
• Advanced experience working with Google Cloud Platform (GCP), particularly BigQuery.
• Strong practical knowledge of Apache Iceberg, Delta Lake, and Iceberg UniForm.
• Experience implementing Delta Sharing and building Kafka-based CDC and event-driven data pipelines.
• Hands-on experience with Snowflake Horizon Catalog and Databricks Unity Catalog.
• Solid understanding of modern data lake and lakehouse architectures, including ingestion pipeline

🎁 Benefits

• Competitive compensation package.
• 100% remote work within the United States.
• Full-time employment opportunity.
• Medical, dental, and vision insurance.
• Pet insurance.
• Paid Time Off (PTO).