Data Engineer

Marathon TS is seeking a Data Engineer with expertise in Google Cloud Platform (GCP), BigQuery, and SQL. This role will focus on building scalable data pipelines and models to support analytics and business decision-making across digital commerce platforms.

Responsibilities:

• Design, develop, and optimize data pipelines and ELT processes using BigQuery and GCP services
• Write and tune complex, high-performance SQL queries across large-scale datasets
• Build and maintain data models to support reporting, analytics, and business intelligence
• Ingest and transform data from eCommerce platforms (orders, customers, product catalogs, clickstream data)
• Partner with product, analytics, and business teams to translate requirements into scalable data solutions
• Ensure data quality, governance, and reliability across the data ecosystem
• Optimize performance and cost efficiency within BigQuery and GCP environments

Requirements:

• 4+ years of experience in Data Engineering
• Strong hands-on experience with BigQuery
• Advanced proficiency in SQL (complex joins, window functions, performance tuning)
• Experience working within Google Cloud Platform (GCP)
• Strong understanding of data modeling, ETL/ELT, and large-scale data processing
• Experience with Python for data processing or automation
• Familiarity with data orchestration tools (e.g., Airflow)
• Experience with streaming data or real-time processing
• Exposure to analytics tools (Looker, Tableau, etc.)
• Background in high-growth or enterprise-scale digital environments