Data Engineer

Position: Data Engineer Role Overview: • Collaborate with Architects to develop high-quality data pipelines for research, operations, and public web applications. • Support current and future reporting and analytics solutions. • Apply expertise in data architecture, data engineering, and reporting. Responsibilities: • Architect, design, and build scalable, robust, and efficient data pipelines using Azure Data Factory and other cloud-native tools. • Establish best practices for data ingestion, transformation, storage, and access, optimizing for performance and cost-efficiency. • Design and implement complex data models, schemas, and partitioning strategies for analytical and operational workloads. • Champion modern data modeling strategies such as medallion architecture. • Define and enforce frameworks for data quality, lineage, and observability. • Enhance data platform infrastructure including CI/CD, monitoring, cost optimization, and failover strategies. • Optimize performance of SQL Server and PostgreSQL databases and cloud services by identifying and resolving bottlenecks. • Collaborate with product, analytics, and business teams to translate business goals into data architecture and pipeline solutions. • Serve as the technical subject matter expert for data platforms and initiatives. • Identify automation opportunities, streamline operations, and promote data democratization. • Maintain comprehensive technical documentation, architecture diagrams, and operational playbooks. • Ensure architectural consistency and enforce data security across all services and platforms. • Work with Architects to model analytical data models, data warehouses, pipelines, and ETL processes. Skills & Qualifications: • Bachelor’s degree in Computer Science, Information Systems, Information Technology, or equivalent experience. • 8+ years of hands-on experience in data engineering or data platform development with a record of delivering production-grade solutions. • Expertise in Azure Data Factory, SQL Server, and PostgreSQL for data ingestion, transformation, and storage. • Strong knowledge of data warehousing principles, dimensional modeling, and scalable ETL/ELT pipeline development. • Experience with cloud services, preferably Azure, and data security protocols. • Proficiency in Python and/or Scala focused on building maintainable and testable data solutions. • Excellent problem-solving skills and attention to detail. • Proven leadership ability and experience delivering quality data solutions. • Strong communication and collaboration skills. • Familiarity with machine learning methodologies and data science models. • Azure or other cloud services certifications are a plus. #Solvo #LI-PROMOTED