Azure Data Engineer - W2 Only

The following requirement is open with our client. Title : Azure Data Engineer Location : Seattle, WA(Onsite) Duration : 6+ Months Rate : $55-$60/hr on W2 Relevant Experience (in Yrs.): 8+yrs. Role Description: • Data Engineering Development • Design, develop, and optimize ETL/ELT data pipelines using Azure Databricks (Spark) and PySpark. • Build and maintain large-scale distributed data processing systems. • Work with structured, semi-structured, and unstructured data using Spark Data Frames, Delta Lake, and similar technologies. • Implement Delta Lake architecture to support ACID transactions, time travel, and scalable storage. • Azure Cloud Ecosystem • Develop solutions leveraging: • Azure Data Lake Storage (ADLS) • Azure Synapse • Azure Data Factory (ADF) • Azure Key Vault • Build automated data workflows using ADF pipelines and Databricks jobs. • Optimize compute clusters and manage Databricks workspaces for performance and cost efficiency. • Data Modeling & Architecture • Design and implement data models, including star and snowflake schemas. • Develop optimal database structures to support analytics and reporting. • Ensure adherence to data governance, data quality, and security best practices. • Collaborate with architecture teams to define scalable and secure cloud data platforms. • Collaboration & Agile Delivery • Partner with data scientists, business analysts, and product teams to deliver high-quality, reliable datasets. • Translate business requirements into detailed technical specifications. • Participate in code reviews, mentor junior engineers, and promote coding best practices. Must Have Skills: Data Engineer Azure, ADF, ETL, Azure Databricks PySpark, ADLS, ACID