Snowflake Data Engineer

About the role

Enterprise modernization of legacy Oracle CTM/ADW analytics to a Kraken-fed Snowflake platform. In scope are Databricks Delta Sharing ingestion, append-only Bronze, dbt-based Silver and Gold models, Snowflake Dynamic Tables for dual-source coexistence, automated reconciliation, downstream data products/file exports, and phased production rollout.

What you'll do

• Develop Snowflake SQL and dbt models across Bronze, Silver, and Gold layers from approved mappings and data contracts
• Build append-only ingestion and materialization logic for Databricks-shared data with audit columns, load controls, monitoring, and replay capability
• Refactor legacy SQL views and business rules into modular dbt models, reusable macros, documentation, and version-controlled code
• Implement dimensional models, SCD Type 1 entities, incremental/micro-batch processing, and hourly/daily/seasonal interval rollups
• Create Dynamic Tables, Tasks, control/mapping tables, and backward-compatible views for legacy/Kraken coexistence

What you need

• 5–9 years in data science & ai
• Snowflake
• SQL
• dbt
• Databricks
• ETL
• Data modelling
• Any graduate

Good to have

• Python
• AWS
• Spark
• Tableau
• Reconciliation
• VBA