Key Responsibilities

Snowflake Data Engineering

- Design and build scalable data models within Snowflake using industry-standard architecture patterns.
- Develop Bronze, Silver, and Gold layer data structures (or equivalent).
- Create optimized tables, views, tasks, streams, and transformation processes.
- Implement performance tuning and query optimization techniques.

Fivetran Integration & Automation

- Configure and optimize Fivetran connectors for source systems including NetSuite and other operational platforms.
- Validate ingestion pipelines, incremental loading strategies, schema evolution, and data synchronization processes.
- Ensure reliable, automated data movement from source systems into Snowflake.
- Troubleshoot and optimize data ingestion performance.





Tableau Prep (ETL) Assessment

- Analyze and document existing Tableau Prep workflows, data preparation processes, calculated fields, joins, unions, filters, and transformation logic.
- Reverse engineer business rules embedded within Tableau Prep flows and local desktop processes.
- Identify dependencies between Tableau Prep, Tableau dashboards, source systems, and downstream reporting assets.
- Develop a migration strategy to transition Tableau Prep transformations into Snowflake-based ELT pipelines.

It is a contractual role for 3 months

📌 Fivetran Snowflake Data Engineer - Contract (Bengaluru)
🏢 WNS Holdings
📍 Bengaluru