Senior Data Engineer

Senior Data Engineer role focused on end-to-end data engineering in modern cloud architectures, bridging business needs with technical solutions. Join agile product teams to manage MDM data products, optimize data flows, and drive the transition from legacy systems (e.g., SSIS, MS SQL Server BI) to cloud-native platforms like Azure and Databricks. Emphasize data product lifecycle, from design and ingestion to provisioning high-quality master data for analytics and downstream consumption.

• Co-drive solution design with Business Analysts, defining target architectures, data models, flows, and integration patterns aligned with UDP principles (cloud-native, scalable, secure).
• Handle data ingestion, cleansing, standardization, transformation, and API provisioning from source systems (e.g., master data customer/product).
• Optimize existing ETL/ELT flows, build infrastructure for extraction/loading from diverse sources, and modernize legacy solutions.
• Assess feasibility, risks, dependencies; create implementation-ready designs, documentation, diagrams, and CI/CD automation.
• Collaborate with stakeholders, data stewards, architects, and teams to implement non-functional requirements (quality, security, stability) and support data-driven services.
• Evaluate/improve analytics solutions, integrate systems, and communicate technical topics to business audiences.
• Strong end-to-end experience in analytics platforms, data products, data warehouses (Star schema, Data Vault, multidimensional, tabular), and modern architectures.
• Data modeling (logical/physical), ETL/ELT design (high-performing SSIS packages, script components in C#), API development/maintenance.
• Cloud-native (Azure platforms), legacy modernization (SSIS to cloud), technology trade-offs for storage/processing.