The role involves designing and optimizing large-scale data pipelines on Snowflake integrated with cloud platforms to enable enterprise analytics
Job Summary
The role involves designing and optimizing large-scale data pipelines on Snowflake integrated with cloud platforms to enable enterprise analytics.
Candidates must have extensive hands-on experience with Snowflake schemas, views, and performance optimization techniques alongside strong Python proficiency.
The position requires collaborating with cross-functional teams to deliver secure, efficient data architectures aligned with organizational goals while implementing data governance processes.
Matching Summary
The role involves designing and optimizing large-scale data pipelines on Snowflake integrated with cloud platforms to enable enterprise analytics.
Skills & Requirements
Must-have
Snowflake data warehousing expertise
Python programming for data processing
Advanced SQL and PL/SQL skills
ETL/ELT pipeline orchestration
Cloud platform deployment experience
Git version control and CI/CD
Nice-to-have
Terraform or CloudFormation infrastructure
Apache Airflow or Prefect usage
Docker containerization knowledge
Kubernetes orchestration experience
NoSQL database familiarity
Data security compliance standards
Key Requirements
7+ years of enterprise data systems experience
Bachelor's or Master's degree in Computer Science or related field
Proven track record in cloud-based data pipeline design
Experience optimizing queries and models in Snowflake