Senior Data Engineer - Snowflake DB

Key Responsibilities

• Architect, develop, and optimize the Snowflake data warehouse- and data pipelines.
• Implement data ingestion frameworks- and ELT/ETL processes- from multiple sources :
• API-based customer platforms
• Workday
• Kronos
• SAP
• 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.

Job Location

Bangalore/Pune

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.