Lead Data Engineer for Cutting-Edge Data Pipeline Architecture

About

Drive innovation as a Data Engineer, mastering the construction and management of robust data pipelines in a fully remote setup. Harness your skills in GCP and engineering to support client success through data.

This role demands a detailed-oriented engineer to uplift a GCP-native data platform while overseeing essential data processing and model management. Your contributions will enhance the reliability and speed of data flows, ensuring all systems are in top shape. Engage proactively in translating technical specifications into high-quality data solutions.

Key Responsibilities:

• Design and build scalable ETL/ELT data pipelines
• Integrate real-time data processing systems
• Own data warehousing and reporting frameworks
• Create automated workflows using GCP technologies
• Conduct rigorous data quality checks and validation

Requirements:

• 3–5+ years of hands-on data engineering experience
• Proficient in GCP, Cloud Run, Dataflow, etc.
• Advanced SQL and Python skills are necessary
• Experience with major advertising platform APIs
• Strong grasp of data modeling and warehousing techniques

Position yourself at the forefront of data technology, delivering cutting-edge solutions that positively impact businesses and their operational strategies.