Senior Data Engineer

📋 Description

• Own end-to-end data pipelines ingesting, transforming, and delivering high-volume advertising data.
• Ingest data from Adform, Google Ads, and Meta Marketing API into Snowflake.
• Develop and optimize Snowflake stored procedures for rollups, attribution, reporting, and analytics.
• Manage AWS Lambda functions (Node.js/Java) for real-time and batch processing, including pixel
• Design Snowflake data models for dashboards, attribution, analytics, and AI-driven capabilities.
• Build and manage S3-based data lake for raw data storage and processing.

🎯 Requirements

• 5+ years in data engineering or related field.
• Proven experience building production-grade data pipelines end-to-end.
• Strong Snowflake experience: data modeling, stored procedures, aggregations, performance tuning.
• Hands-on AWS data/cloud services experience: S3, Lambda, SQS.
• Experience with PostgreSQL or other relational databases.
• ETL/ELT architecture knowledge, data ingestion, transformation, orchestration, and data quality

🎁 Benefits

• Competitive salary.
• Paid time off.
• Fully remote work arrangement from India.
• Opportunity to work on high-volume advertising and AI-driven data products.
• Exposure to modern data infrastructure around Snowflake and AWS.
• Opportunity to shape data architecture and practices as the platform scales.