Description

You will build and maintain scalable data pipelines on Google Cloud Platform, focusing on Martech and customer behavior analytics.

This role is on-site.

Responsibilities

• Design and implement ETL/ELT pipelines using BigQuery, Dataflow, Pub/Sub, and Composer.
• Process high-volume clickstream, digital marketing, and customer behavior data in real-time and batch modes.
• Develop robust data models for attribution, segmentation, and campaign analytics.
• Ensure data quality, governance, and validation across marketing datasets.
• Translate business marketing requirements into technical data solutions.

Required Skills

• 6+ years of experience as a Data Engineer.
• Strong expertise in Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Composer, Cloud Storage).
• Proficiency in SQL and Python for building scalable data pipelines.
• Hands-on experience handling clickstream data and digital marketing analytics.
• Experience with real-time and batch data processing for high-volume datasets.
• Familiarity with CI/CD pipelines, Git, and Agile development practices.
• Bachelor’s degree in a relevant field.

Preferred Skills

• Exposure to data visualization tools like Looker or Tableau.
• Understanding of marketing data models and stakeholder reporting.

Key Skills

Education

Bachelor’s degree