Deroyque IT

Engineer

• Architecture and Development: Develop modular, scalable data pipelines (ingestion, processing, and cleansing) using PySpark and/or Scala.
• Modern Data Stack: Implement and maintain Lakehouse architectures following the Medallion pattern (Bronze, Silver, Gold).
• CRM/CDP Strategy: Work on integrating and structuring data for CDP/CRM platforms, focusing on a 360-degree customer view.
• Quality and Automation: Create automated sanity checks and ensure data integrity in QA and Production environments.
• Optimization: Monitor and fine-tune processing performance and costs in Databricks and SQL queries.

Senior Data Engineer – Azure, Databricks

Data Analyst

• Investigation and Diagnosis: Perform root-cause analysis of data issues and carry out rigorous testing to ensure data integrity.
• Business Liaison: Conduct interviews with stakeholders to understand pain points and processes, translating business requirements into detailed functional specifications.
• Product Perspective: Understand the end-to-end solution (from raw data to final insight) to propose improvements and validate that the architecture meets functional needs.
• Documentation: Prepare functional specifications that guide engineering and development teams in building robust solutions.

Senior Data Engineer – Azure, Databricks

Senior Data Analyst