Data Engineer

Project length: 3 months with further extensions Overview: Join our client's initiative to enhance service quality by developing industrialized QoS dashboards for monitoring application performance, LOG events, and BAU KPIs. As a Data Engineer, you will play a crucial role in constructing data pipelines, developing tabular cubes, and creating data-driven dashboards, providing valuable insights for stakeholders across the organization. Responsibilities: Assess and document functional and technical requirements with stakeholders. Coordinate with third-party teams, including the Data Integration and Datalake teams. Implement and manage data ingestion pipelines and transformations using PySpark, Databricks, and Azure services. Develop and execute specific calculations and filtering based on project needs. Implement security and access control measures to safeguard data integrity. Requirements: Minimum 3 years of experience working in data engineering roles. Hands-on expertise with Databricks, Azure Analysis Services, and Power BI. Strong knowledge of Azure DevOps. Experience with data pipeline construction, data modeling, and dashboard creation. Strong problem-solving skills and attention to detail. We offer: Challenging international projects, Transparently built relations based on trust and fair play. #J-18808-Ljbffr