Senior Data Engineer

About The Company Our client is a renowned home appliances retailer recognized for their commitment to innovation and technology-driven solutions. As a leader in the industry, they continuously strive to enhance customer experience through cutting-edge products and services. Their focus on leveraging the latest advancements in technology has positioned them as a pioneer in delivering seamless and efficient home appliance solutions. The company values sustainability, quality, and customer satisfaction, fostering a dynamic work environment that encourages growth, collaboration, and continuous improvement. About The Role The organization is seeking a highly skilled and motivated Senior Data Engineer to join their dynamic team. In this pivotal role, you will be responsible for architecting, developing, and maintaining robust data systems that support the company’s logistics and supply chain operations. Your expertise will enable the organization to optimize data integration, transformation, and storage, facilitating data-driven decision-making and analytics initiatives. The successful candidate will play a crucial role in shaping the company’s data infrastructure, ensuring high performance, scalability, and data integrity across all platforms. This role requires a keen eye for detail, strong technical skills, and the ability to collaborate effectively with cross-functional teams. You will work extensively with Azure Databricks, designing scalable data pipelines and models that support the organization’s strategic goals. Your contributions will directly impact the efficiency and sustainability of the company’s supply chain solutions, empowering clients worldwide with innovative logistics services. Qualifications Bachelor's degree in Computer Science, Engineering, or a related field (advanced degree preferred)Proven experience as a Lead Data Engineer or similar roleExpertise in designing and implementing data engineering solutionsProficiency in programming languages such as Python, Java, or ScalaExperience with data processing frameworks like Apache Spark and HadoopStrong understanding of SQL and NoSQL database systemsKnowledge of data modeling and schema designExperience working with cloud platforms such as Azure, AWS, or GCPFamiliarity with data technologies in cloud environmentsExcellent problem-solving and analytical skillsStrong communication and leadership abilities Responsibilities Design and develop scalable data pipelines for collecting, processing, and storing large volumes of structured and unstructured dataCollaborate with cross-functional teams to gather data requirements and translate them into effective engineering solutionsWork extensively with Azure Databricks to build and optimize data workflowsDevelop and maintain data models, ensuring data quality, integrity, and consistency across the organizationMonitor and optimize data pipelines to improve efficiency, scalability, and performanceStay updated with industry trends and emerging technologies, recommending innovative solutions to enhance data infrastructureEnsure compliance with data governance and security standardsDocument data engineering processes and best practices for team reference and continuous improvement Benefits Competitive salary packageHealth insurance and wellness benefitsOpportunities for professional development and trainingCollaborative and innovative work environmentFlexible work arrangementsParticipation in cutting-edge technology projectsEmployee discounts on products and services Equal Opportunity Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, or veteran status.