Architect, develop, and optimize Snowflake data warehouses and data pipelines.Implement data ingestion frameworks and ELT/ETL processes from multiple sources, including:API-based customer platformsWorkdayKronosSAPDynamics 365 (ERP)Database-to-database replicationApply 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, Resource Monitors

Data Transformation & Orchestration

dbt, Airflow, Informatica, Fivetran, or similar ETL tools

Cloud Integration

AWS (S3) for hostingAzure (ADLS) for data sources

Languages

SQL, Python

Version Control & CI/CD

Git, Jenkins (or equivalent)

Monitoring

CloudWatch, Snowflake Query Profiling & Cost Optimization tools

Qualifications

3+ 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.Skills: dw,git,aws,azure(adls),erp,snowflake,etl,data modeling,optimization,sql,python,api,jenkins,data warehouse,database

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Snowflake Data Engineer