Senior Snowflake Developer

NumenticaChicago Heights, IL

About The Position

We are seeking a Senior Snowflake Developer to join our team. In this role, you will be responsible for designing, developing, and maintaining scalable data pipelines using Snowflake as the core data warehouse platform. You will build and optimize various data ingestion processes, develop data transformation logic, and collaborate with cross-functional teams to deliver technical solutions. Additionally, you will monitor pipeline performance, ensure data quality, and partner with DevOps for CI/CD implementation.

Requirements

  • Bachelor’s degree in Computer Science, Information Systems, or related field.
  • 5+ years of experience in data engineering or similar roles.
  • 3+ years of strong hands-on experience with Snowflake , including advanced SQL, stored procedures, and performance tuning.
  • Experience with data ingestion methods such as bulk loading, micro-batching, and streaming.
  • Strong knowledge of AWS services such as S3, Lambda, and CloudWatch, or Azure services including Data Factory, Event Hubs, Blob Storage, and Azure Functions.
  • Experience working in Azure cloud environments.
  • Strong Python programming skills for automation, integrations, and data processing.
  • Good experience with SQL Server and relational databases.
  • Knowledge of data modeling, security, governance, and best practices.
  • Experience with Git and collaborative development environments.

Responsibilities

  • Design, develop, and maintain scalable data pipelines using Snowflake as the core data warehouse platform.
  • Build and optimize batch, file-based, and real-time streaming data ingestion processes from multiple sources.
  • Develop data transformation logic using Snowflake SQL, stored procedures, and Python.
  • Collaborate with architects, analysts, and business teams to translate requirements into technical solutions.
  • Monitor and troubleshoot pipeline performance while ensuring data quality and availability.
  • Maintain documentation for data flows, models, and system architecture.
  • Partner with DevOps teams to implement CI/CD practices for data pipeline deployments.
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