Valorem Reply
Technology
SeniorDataEngineer
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“Senior Data Engineer at Valorem Reply”
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Full Job Description
## Description Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation and digital workplace by leveraging the power of Microsoft technologies. We provide hyper-scale and agile delivery of unique digital business services, strategic business models and design-led user experiences. Our innovative strategies and solutions securely and rapidly transform the way our clients do business. We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. This role requires both deep technical expertise and strong consulting skills to translate business needs into scalable solutions and communicate effectively with all stakeholders. You will help architect and deliver high-quality data solutions that drive measurable business value. ## Responsibilities Work directly with clients to understand business goals, data challenges, and technical requirements. Lead or support discovery sessions, requirements workshops, architecture discussions, and solution reviews. Develop and optimize batch and streaming data ingestion pipelines from enterprise applications, databases, APIs, and file-based sources. Implement medallion/lakehouse architectures, dimensional models, and data transformation workflows to support analytics and reporting use cases. Engineer solutions using technologies such as PySpark, Spark SQL, SQL, Python, Delta Lake, and orchestration tools within Azure and Databricks. Recommend best practices for data modeling, governance, lineage, monitoring, DevOps, and security. ## Minimum Requirements Bachelor’s degree in computer science or related field 6+ years of experience in data engineering, data platform development, or cloud data solutions 3+ years of hands-on experience with Azure Databricks, Apache Spark, or similar distributed data pro
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