Senior Data Engineer

Due to the nature of the work, Our Client is unable to work with candidates on H1-B visa or EAD. Our Client is looking for someone who blends data science + data engieering. Youll architect and build pipelines in Databricks, design data lake systems, and dig into data to find trends, outliers, and actual causal insights. As an Applied Data Scientist, you will bridge the gap between raw data and actionable insights. You are responsible for building robust data pipelines in Databricks and applyin

Role: Data Engineer - (DBT, Data Bricks & SQL) Location: 100% Remote Required Skills & Qualifications:10+ yearsof professional experience as aData EngineerStrong experience withDBT(Data Build Tool) for data transformations.Hands-on experience withDatabricksfor data processing and pipeline development.Proficiency inSQL(query optimization, data modeling, stored procedures).Experience with at least onecloud platform(AWS, Azure, or Google Cloud Platform).Knowledge ofdata warehouseanddata lake arch

Job Title :- Data Engineer As a Data Engineer II, you will design, build, and optimize modern data platforms that power advanced analytics and AI solutions. Youll collaborate with clients and interdisciplinary teams to architect scalable pipelines, manage secure and compliant data environments, and unlock the value of complex datasets across industries. Youll sharpen your expertise by working on innovative projects, contributing to R&D, and learning from top-tier talent in a dynamic, global envi

Key ResponsibilitiesDesign, build, and orchestrate scalabledata pipelinesusing Azure-native services.Develop and optimizebatch and near real-time data processing solutionsusing Spark and Databricks.Implement and manageenterprise-grade Lakehouse architectures(Medallion architecture).Performdata processing, validation, and automationusing Python (PySpark, Pandas, NumPy).Optimize performance of large-scale data systems, includingSpark tuning and query optimization.Work withCDC (Change Data Capture)