Data Engineer

• Architect and build the backbone of a next-generation multi-tenant influencer marketing analytics platform
• Design and implement ETL pipelines migrating from transactional databases to analytical data warehouses
• Create real-time data ingestion systems processing campaign data, user metrics, and business intelligence
• Build multi-tenant data models with proper partitioning strategies for enterprise-scale clients
• Develop data quality frameworks with comprehensive validation, monitoring, and alerting
• Implement Row-Level Security (RLS), Role-Based Access Control (RBAC), dynamic permission models, and session-based context management
• Create comprehensive audit trails and access logging for compliance requirements
• Design database schemas with advanced partitioning and indexing strategies and build materialized views and aggregated tables for real-time analytics
• Implement query optimization, data skipping, and compression techniques to handle high-concurrency embedded dashboard usage with sub-second query performance
• Build dashboard data sources with optimized SQL transformations, handle complex data structures and parsing, and create denormalized tables optimized for embedded analytics consumption
• Collaborate with cross-functional teams to deliver secure, scalable analytics solutions for enterprise partners

Senior Data Engineer, Reporting

Senior Data Engineer – AdTech

Middle Data Engineer, Healthcare Domain

Data Engineer

Data Engineer

Senior Data Engineer