Sr. Data Engineer

5+ years of experience as a Data Engineer Snowflake architecture expertise for multi-tenant B2B applications Performance optimization for customer-facing data models and analytics. Advanced SQL skills for complex query optimization Proficiency in Python, Scala, or Go for data pipeline development Experience analyzing source data structures and recommending improvements Ability to collaborate with engineering teams on data design Experience with ETL/ELT pipelines (Airflow, dbt) Integration experience with Power BI, Tableau, and Sigma Mentoring skills for report creation using BI tools Data quality management for customer-facing products Experience with GitHub/source control and CI/CD pipelines (GitHub Actions or Jenkins) Understanding of multi-tenant data security and governance

Evaluate and improve data models and schemas in Snowflake to enhance our B2B analytics products. Analyze BI warehouse views and identify structural improvements at the source, collaborating with engineering teams to recommend beneficial changes for downstream BI products. Optimize ETL/ELT pipelines for timely and reliable data synchronization. Improve query performance and storage efficiency while controlling costs. Enhance data quality monitoring and validation processes. Work with product management to translate customer requirements into data solutions. Guide team members and customers in creating effective reports using Power BI, Tableau, and Sigma. Improve data lineage documentation and warehouse architecture. Monitor and resolve pipeline issues to prevent service disruptions. Implement improvements to multi-tenant data architecture for better data isolation and resource utilization.