Role Overview

We are looking for an experienced Snowflake Data Engineer to design and develop the data infrastructure and pipelines supporting a financial reporting system.

This role will work closely with the Director of Finance to understand reporting requirements, translate financial data needs into scalable data solutions, and establish reliable data models and pipelines.

The ideal candidate must have strong hands-on Snowflake experience and be capable of independently guiding decisions related to data architecture, infrastructure design, data modelling, transformation, and pipeline development.

Technical Stack
- Data Warehouse: Snowflake
- Query Language: SQL
- Data Ingestion: Fivetran or equivalent
- Data Transformation: dbt or equivalent
- Cloud Platform: AWS preferred (Azure or similar can be considered)

Key Responsibilities
- Design, develop, and maintain scalable data pipelines for financial reporting and analytics.
- Provide guidance on Snowflake infrastructure, architecture, performance, and cost optimisation.




- Design and implement data models that support accurate and efficient financial reporting.
- Build and manage data ingestion workflows using Fivetran or similar data extraction tools.
- Develop and maintain data transformation workflows using dbt or a comparable transformation framework.
- Integrate data from financial, operational, and third-party systems into Snowflake.
- Work directly with the Finance team to understand business requirements and convert them into technical solutions.
- Establish data quality checks, validation processes, monitoring, and reconciliation controls.
- Troubleshoot pipeline failures, data inconsistencies, and performance issues.
- Document data architecture, models, pipelines, dependencies, and operating procedures.

Required (must-have) Skills and Experience
- Solid hands-on experience designing and implementing solutions using Snowflake.
- Demonstrated experience with Snowflake architecture, schemas, warehous

📌 Senior Snowflake Data Engineer (Vadodara)
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