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.