Job Location : Bangalore/Pune

Key Responsibilities :

- Architect, develop, and optimize the Snowflake data warehouse- and data pipelines.

- Implement data ingestion frameworks- and ELT/ETL processes- from multiple sources :

1. API-based customer platforms

2. Workday

3. Kronos

4. SAP

5. Dynamics 365 (ERP)

- Database-to-database replication

- Apply Snowflake best practices- for performance, cost optimization, and scalability.

- Ensure data quality, governance, lineage, and security across the data landscape.

- Collaborate with architects and business stakeholders to deliver reliable, analytics-ready data.

Tools & Technologies :

- Snowflake Core : Snowflake SQL, Snowpipe, Streams & Tasks, Time Travel, Clustering, and Resource Monitors

- Data Transformation & Orchestration : dbt, Airflow, Informatica, Fivetran, or similar ETL tools

- Cloud Integration : AWS (S3)- for hosting, Azure (ADLS)- for data sources

- Languages : SQL, Python

- Version Control & CI/CD : Git, Jenkins- (or equivalent)

- Monitoring : CloudWatch, Snowflake Query Profiling & Cost Optimization- tools

Qualifications :

- 5+ years of experience in Snowflake implementation (greenfield preferred).

- Strong background in data engineering, data ingestion, and pipeline design.

- Experience integrating data from APIs, ERP, HR, and operational systems.

- Strong understanding of AWS- and Azure- ecosystems.

- Expertise in Snowflake optimization, data modeling, and cost control.