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Job Description

TribalScale is seeking an Adobe Real Time Customer Data Expert to join their team in Toronto. The ideal candidate will have a strong background in data engineering and Adobe Experience Platform, with a focus on helping clients leverage Customer Data Platforms like Adobe Real-Time CDP (RTCDP).

The role involves working with a multidisciplinary team to build and maintain data pipelines between enterprise systems and Adobe's Customer Data Platform. The expert will design and implement data pipelines using Adobe's APIs and SDK, write and optimize complex SQL queries, create and maintain XDM schemas, develop ETL processes, and implement data quality checks.

TribalScale empowers each team member to be a catalyst for change, adhering to our principles of meritocracy, empowerment, and transparency. Diversity isn't just celebrated—it's fundamental to their strength.

Role Involves:

  • Designing and implementing data pipelines between enterprise systems and Adobe CDP.
  • Writing and optimizing complex SQL queries for data transformation and analysis.
  • Creating and maintaining XDM schemas for data integration.
  • Developing ETL processes for real-time and batch data processing.
  • Implementing data quality checks and monitoring systems.

Requirements:

  • Minimum 2 years of hands-on experience with Adobe CDP implementations.
  • Advanced SQL skills with experience writing complex queries and optimizing performance.
  • 5+ years of data engineering experience with ETL pipelines and data integration.
  • Strong experience working with REST APIs, particularly Adobe's API ecosystem.
  • Hands-on experience with cloud platforms (Azure/AWS/GCP) and their data services.
  • Proficiency in at least one programming language (Python/Java/JavaScript).
  • Experience implementing data quality monitoring and validation processes.

Role Offers:

  • Opportunity to work with cutting-edge technologies and innovative projects.
  • Collaboration with a multidisciplinary team of experts.
  • A chance to make a lasting impact on the digital landscape.
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