Deroyque IT

• Manage end-to-end implementation projects for B2B and B2G customers • Plan scope, monitor execution, and control schedules • Manage backlog, priorities, and SLA compliance • Serve as the primary point of contact between the client, internal teams, and vendors • Coordinate scheduling with clients, technicians, and partners • Oversee third parties, ensuring quality and delivery timelines • Identify risks, impediments, and scope deviations • Monitor multiple projects concurrently • Prepare status reports and validate technical and documentary deliverables

• Development and maintenance of data pipelines (ingestion, transformation, and data quality); • Hands-on work with Databricks to build and optimize pipelines; • Data modeling (conceptual, logical, and physical); • Deployment in QA and Production environments; • Creation of scalable, automated, and reliable pipelines.

• Develop and maintain data pipelines using Databricks (PySpark) • Orchestrate workflows with Azure Data Factory • Work with Azure Data Lake Storage and Delta Lake • Build data models across Bronze, Silver and Gold (Medallion) layers • Perform data quality validations and handle data inconsistencies • Investigate failures in pipelines and data loads • Write SQL queries for analysis and transformation • Support business and analytics teams in defining requirements • Document pipelines and data structures • Use Git and follow development best practices

• Oversee the full lifecycle of B2B client implementations, from creation of the work order to final delivery • Manage the daily queue of requests via CRM • Schedule appointments with clients and field technicians • Conduct follow-ups with clients, the sales team, and internal departments • Support meeting SLAs, focusing on on-time deliveries • Identify and track impediments • Engage internal teams and partners to ensure smooth delivery flow • Assist in preparing status and performance reports • Participate in alignment meetings with internal teams and partners • Support conducting project kickoffs with clients and involved teams • Ensure recording and updating of information in the CRM • Assist in the technical and documentation validation of completed projects

• 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.