GCP Data Engineer

• Architect and optimize data pipelines using Airflow, BigQuery, and other GCP-native tools to support scalable and reusable workflows.
• Analyze and resolve data quality issues across platforms like Amperity, Acxiom, and other CDPs, ensuring accurate customer profiles and campaign performance.
• Design and implement modular, production-grade code for data ingestion, transformation, and measurement workflows.
• Develop and maintain dashboards and reporting frameworks using GCP-native solutions (e.g., Looker, BigQuery).
• Collaborate with cross-functional teams to translate business needs into technical solutions and data products.
• Lead strategic data discussions with senior stakeholders, influencing decisions through actionable insights and technical expertise.
• Serve as a Subject Matter Expert (SME) in data engineering and analytics, mentoring junior analysts and promoting best practices in data governance, storytelling, and campaign measurement.
• Apply agentic AI techniques to automate insight generation and enhance personalization and marketing intelligence.

We are seeking a highly skilled and technically proficient Data Engineer with Google Cloud Platform (GCP), and data pipeline orchestration tools like Airflow. T The ideal candidate will bring strong retail domain knowledge, hands-on experience with big data ecosystems, and a proven ability to architect and optimize scalable, modular data solutions. You will be expected to lead technical conversations, resolve complex data issues, and mentor junior team members while collaborating cross-functionally with marketing, product, and engineering teams., * Bachelor’s or master’s degree in data science, Computer Science, Statistics, or related field.

• 15+ years of experience in data analytics and engineering, with at least 3 years in a lead or SME role.
• Proven experience in retail industry, with deep understanding of customer behaviour, merchandising, and omnichannel strategies.
• Hands-on expertise with GCP, including Big Query, Cloud Composer (Airflow), Dataflow, and Looker.
• Strong experience with Customer Data Platforms such as Amperity, Acxiom, or similar.
• Proficiency in SQL, Python, and modular code development for analytics and engineering workflows.
• Deep understanding of CRM data structures, personalization logic, campaign execution, and marketing measurement.
• Ability to work independently, take ownership, and deliver results with minimal guidance.
• Excellent communication skills, with the ability to present complex data insights to senior stakeholders.
• Experience with agentic AI frameworks or similar technologies is a strong plus.