Snowflake Data Engineer
2 days ago
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
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