Senior Big Data Engineer

Навыки

• Атрибуция
• Big Data
• BigQuery
• CI/CD
• Коммуникация
• Решения на данных
• Data Governance

О компании и продукте

• Senior Big Data Engineer (#4508151101) - Office/Remote | N-iX
• Senior Big Data Engineer (#5623)
• We are looking for a Senior Data Engineer to join a strategic marketing technology (Martech) transformation initiative for a large enterprise organization. The project focuses on modernizing the client's marketing data platform, rebuilding data pipelines, and improving marketing attribution across multiple business brands.
• As part of a dedicated data engineering team, you will help build a scalable, cloud-native data platform on Google Cloud Platform (GCP), enabling better visibility into marketing performance and supporting data-driven decision making. This is a long-term engagement through the end of 2026, working closely with the client's Data Engineering, Product, and Martech teams.

Задачи

• Design, develop, and maintain scalable data pipelines on Google Cloud Platform (GCP)
• Build and optimize data models in BigQuery to support analytics and marketing reporting
• Rebuild legacy marketing data pipelines following modern engineering best practices and enterprise standards
• Contribute to the development of a canonical enterprise data model and semantic data layer
• Support the implementation and adoption of DataHub as the enterprise data catalog
• Develop automated CI/CD pipelines for data engineering workflows and enforce coding and data quality standards
• Ensure proper data isolation between multiple business brands while enabling consolidated reporting where appropriate
• Collaborate closely with Product Managers, Martech specialists, Analytics teams, and other data engineers to deliver business value
• Optimize data processing performance, reliability, monitoring, and cost efficiency

Требования

• 5+ years of experience as a Data Engineer
• Strong hands-on experience with Google Cloud Platform (GCP)
• Advanced experience with BigQuery
• Strong SQL and Python development skills
• Experience designing and implementing modern ELT/ETL pipelines
• Solid understanding of dimensional modeling, semantic modeling, and enterprise data architecture
• Experience building production-grade CI/CD pipelines for data platforms
• Familiarity with Git and modern software engineering best practices
• Strong communication skills and ability to work within cross-functional teams
• Upper-Intermediate or higher English
• Hands-on experience integrating: Google Ads, Google Analytics (GA4), Search Ads 360 (SA360), Campaign Manager 360, DV360

Будет плюсом

• Experience with marketing technology (Martech) platforms and marketing attribution
• Experience with DataHub or similar data catalog solutions
• Experience implementing semantic layers for analytics platforms
• Understanding of multi-brand or multi-tenant data architectures
• Experience modernizing legacy data platforms and rebuilding pipelines from scratch
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