Senior Data Engineer

📋 Description

• Build batch and streaming pipelines that connect operational databases, product events, billing
• Make ingestion recoverable through change-data capture, schema-change handling, idempotent
• Operate and improve Snowflake, including access controls, workload management, query performance
• Improve orchestration and deployment workflows so engineers can test, ship, and debug pipelines
• Build data-quality checks that detect stale, missing, duplicated, or inconsistent records before
• Work with analytics partners on shared data models, source definitions, and documentation.

🎯 Requirements

• Experience independently building and operating production data pipelines and the infrastructure
• Strong SQL and Python skills, including testing, debugging, and maintainable software design.
• Experience with Snowflake or a comparable warehouse, including performance tuning and access
• Experience with workflow orchestration and transformation tools such as Airflow and dbt, or
• Understanding of data modeling, incremental processing, schema evolution, and data-quality testing.
• Ability to trace a data discrepancy from a downstream report back to its source, explain the cause

🎁 Benefits

• Private Health Insurance
• Gym Reimbursement
• Commuter Benefits
• Flexible Time Off
• In-Office Group Meals
• Learning & Development Stipend