Azure Data Engineer F2F Interview

Role: Azure Data Engineer Irving, TX - Onsite 4+ years of hands-on experience in data engineering, including data lake infrastructure, data warehousing, and data analytics tools. Cloud data engineering experience on Azure. Deep understanding of Azure services like Data Factory, Databricks, and Machine Learning. Azure certification is a plus. Strong proficiency in SQL, Python and PySpark. Proven ability to optimize SQL queries and performance tune data pipelines. Experience in building and operat

Job Title: Azure Data Engineer Location: Irving, TX (Hybrid) Long Term Contract Only W2 No C2C Job Depression: Design, develop, and maintain scalable data pipelines and architectures on Azure Cloud. Implement and manage Azure Data Lake solutions to store and process large volumes of data. Utilize Databricks for data processing, transformation, and analytics. Develop and maintain ETL processes using Azure Data Factory. Write efficient and optimized SQL queries to extract, transform, and load

Were looking for an experienced Azure Snowflake Data Architect to design and lead modern, scalable enterprise data platforms. Youll own architecture decisions, guide engineering teams, and deliver analytics ready solutions on Azure and Snowflake. Key Responsibilities Design end to end data architectures using Azure & Snowflake Build data lake / lakehouse / warehouse solutions Architect ingestion using ADF, ADLS Gen2, Functions Define ELT frameworks, data models, and governance standards Optimize

Our client is seeking a Data Engineer for a 6-month contract in Irving, TX. Will be working on an onsite schedule. Contract Duration: 6 Months Required Skills & Experience 4+ years of hands-on experience in data engineering, including data lake infrastructure, data warehousing, and data analytics tools. Cloud data engineering experience on Azure. Deep understanding of Azure services like Data Factory, Databricks, and Machine Learning. Azure certification is a plus. Strong proficiency in SQL, Pyt