Role – Azure Databricks Engineer Location – New York, NY (Onsite) Experience – 10+ Years Job Description We are looking for an experienced Data Engineer with expertise in building data pipelines using Azure Databricks and other Azure Data Services. The person should have a good understanding and working experience in Lakehouse and Medallion architectures. Responsibilities include developing and implementing scalable, high-performance data solutions on Databricks using Delta Lake, ADLS2, Spark, and Apache Airflow. Experience working with Azure Services such as Azure Data Lake, Databricks, Azure Data Factory, Azure SQL DB, Azure Functions, etc. Hands-on experience with Delta Live Tables, Unity Catalog, and Lakehouse Federation. Technical expertise with data models, data mining, and analytics techniques. Technical expertise on various storage mechanisms. Programming skills in Python or .NET/C#. SQL Database design experience. Experience working in an Agile (Scrum) environment. Experience with Git/DevOps, implementing CI/CD pipelines (preferably Azure-based). Experience in data modeling, analysis, data warehousing concepts, and best practices. Strong collaboration skills and experience working with remote teams. Responsibilities Analyze and organize raw data. Build data systems and pipelines. Evaluate business needs, interpret trends and patterns. Conduct complex data analysis and report results. Prepare data for prescriptive and predictive modeling. Build and incorporate business rules, logic, transformations, and aggregations. Combine raw data from different sources and build data pipelines across multiple layers. Explore ways to enhance data quality and build data quality frameworks. Identify opportunities for data acquisition. Preferred Qualifications Databricks Certified Data Engineer Professional. Experience in banking or finance domains is a plus. Education Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field. Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive consideration without discrimination. We support a diverse workforce across all levels. #J-18808-Ljbffr
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