Data Engineer MVA Inference (Delhi)
About the Role We are hiring a Data Engineer to build and maintain compliant, privacy-safe data infrastructure that powers audience development and marketing intelligence systems. This role ensures all data pipelines operate using aggregated, historical signalsnever real-time incident or individual-level data. Key Responsibilities - Build and maintain ETL/ELT pipelines - Develop reusable inference layers - Create audit-ready segmentation workflows - Implement governance controls (lineage, validation, logging) - Perform geospatial aggregation (ZIP, county, corridor) - Collaborate with Growth and Compliance teams Success (6090 Days) - Reliable, monitored pipelines - Governed inference layer library - Standardized segmentation workflows - Improved audience performance Required Qualifications - Solid SQL and data modelling - Python proficiency - Cloud platforms (AWS, GCP, Azure) - Data warehouses (Snowflake, BigQuery, Redshift) - Data governance experience - Aggregated geospatial data experience Compliance Expectations - Understand inference vs. knowledge - Use only aggregated historical data (45+ days old) - No real-time or individual-level data usage - Vendor diligence and audit logging Nice to Have - Marketing segmentation experience - Privacy frameworks (CCPA, GDPR, TCPA) - dbt, Airflow, Dagster, Spark Compensation - Compensation is based on experience, skills, and location and will be competitive within the global market. .
