Innovative Data Engineer for Advanced Data Infrastructure Development

Take charge as a Data Engineer, crafting scalable ETL pipelines while optimizing production-grade infrastructure in a fully remote environment. Leverage your expertise in GCP and Python to transform data into valuable insights for growth.

This role is integral for scaling a GCP-native data platform, with a focus on creating impeccable data pipelines and enhancing data quality. You’ll translate architectural visions into effective data solutions while working in a collaborative and fast-paced atmosphere. Engage fully in building and managing data systems that support major advertising initiatives across industries.

Key Responsibilities:

• Build robust, scalable ETL/ELT data pipelines
• Integrate event streaming for real-time data processes
• Own transformation logic within the Medallion Architecture
• Manage data models in BigQuery for optimal analytics
• Implement data quality checks and monitoring systems

Requirements

• 3–5+ years of data engineering experience
• Strong GCP knowledge: BigQuery, Cloud Run, etc.
• Proficient in SQL and Python programming
• Experience with major ad platform APIs
• Understanding of data warehousing principles

Elevate your data engineering career by powering complex data systems that drive real decisions and outcomes for clients across various sectors.

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