Data Engineer

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 for analytics and reporting Engineer solutions using 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 Contribute to solution architecture Deliver high-quality modern data solutions that drive measurable business value Facilitate design sessions with client stakeholders and present recommendations to leadership teams 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 processing technologies Expertise with Microsoft Azure infrastructure and data resources, including Fabric, Azure Data Factory, Synapse Data Analytics, Power BI, Azure SQL, Azure Cosmos DB, and Azure Database for PostgreSQL Expertise with Databricks, including enterprise-level strategy and architecture with Unity Catalog, data warehousing, data sharing, and Mosaic AI DevOps for data, GitHub, automated testing, and working with containers such as AKS, Docker, and registries Excellent communication skills and ability to explain concepts clearly to teammates and customers Ability to quickly learn new concepts and technologies Preferred: experience working directly with clients, business stakeholders, or cross-functional teams in consulting or professional services Preferred: experience building data agents, including NLQ, Databricks Genie, and Fabric Data Agents Preferred: experience with data management, governance, security, master data management, and industry security requirements Preferred: broad experience with data/reporting tools, architectures, cloud vendors, and data/AI concepts other than Microsoft Core Competencies Demonstrates expertise in data engineering and cloud data solutions, with a strong focus on Azure Databricks, data ingestion pipelines, and data architecture. Proven ability to communicate effectively with clients and stakeholders while delivering high-quality data solutions that drive business value. Highest-signal resume keywords Data Engineering Azure Databricks PySpark Data Governance DevOps for Data ATS Optimization Keywords Hard Skills Data Ingestion Pipelines SQL Python Spark SQL Delta Lake Data Transformation Workflows Data Modeling Data Architecture Data Warehousing Data Sharing Soft Skills Excellent Communication Skills Ability to Explain Concepts Clearly Quick Learner Certifications & Qualifications Bachelor’s Degree in Computer Science or Related Field Industry Keywords Data Management Data Governance Master Data Management Industry Security Requirements Cloud Data Solutions Data/AI Concepts Tools & Technologies Microsoft Azure Azure Data Factory Synapse Data Analytics Power BI Azure SQL Azure Cosmos DB Azure Database for PostgreSQL GitHub Docker AKS #J-18808-Ljbffr Jobtailor