Snowflake Developer

Position Overview We are seeking an experienced Snowflake Developer to join our data engineering team. The ideal candidate will have strong expertise in Snowflake data platform capabilities, with proven experience in designing and implementing robust data ingestion solutions across both file-based and streaming architectures on AWS and Azure cloud platforms. Experience Level Senior Level – 3 Required Qualifications 3+ years of hands‑on experience with Snowflake data platform including advanced SQL, stored procedures, and performance optimization Strong experience with data ingestion patterns including bulk loading, micro-batching, and streaming data processing Proficiency with AWS services such as S3, Lambda, and CloudWatch; experience with Azure data services including Data Factory, Event Hubs, Blob Storage, and Azure Functions Solid Python programming skills for data processing, API integrations, and automation scripts Experience with data modeling concepts and dimensional modeling techniques Understanding of data security, governance, and compliance best practices Preferred Qualifications Snowflake certifications (SnowPro Core or Advanced certifications) Experience with Infrastructure as Code tools (Terraform, CloudFormation) Knowledge of containerization technologies (Docker, Kubernetes) Familiarity with data visualization tools and business intelligence platforms Experience with data quality frameworks and monitoring tools Professional Experience Bachelor’s degree in Computer Science, Information Systems, or related technical field Minimum 4+ years of experience in data engineering or related roles Proven track record of delivering production‑ready data solutions at scale Experience with version control systems (Git) and collaborative development practices Tasks & Responsibilities Design, develop, and maintain scalable data pipelines using Snowflake as the core data warehouse platform Build and optimize data ingestion processes for both batch file‑based loads and real‑time streaming data from various sources Implement data transformation logic using Snowflake SQL, stored procedures, and Python integration Collaborate with data architects and analysts to understand business requirements and translate them into technical solutions Monitor and troubleshoot data pipeline performance, ensuring high availability and data quality Develop and maintain documentation for data processes, data models, and system architecture Work closely with DevOps teams to implement CI/CD practices for data pipeline deployments #J-18808-Ljbffr SS Software Solutions, LLC