Key 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.

Required Skills and Experience

• 
  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.