Snowflake Data Engineer

Job Description

Key Responsibilities 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 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. 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 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 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