Senior Data Engineer

Tasks

• Design, develop, and maintain scalable data pipelines.
• Create and optimize enterprise data models.
• Build and maintain ETL/ELT workflows using Azure Data Factory.
• Develop and optimize data solutions using Azure Synapse Analytics.
• Ensure data quality, accuracy, and performance.

Requirements

• 10+ Years Preferred
• Strong experience in Senior Data Engineering and Data Warehousing.
• Hands-on experience with Azure Data Factory (ADF).
• Expertise in Azure Synapse Analytics.
• Strong knowledge of Conceptual, Logical, and Physical Data Modeling.
• Experience with Dimensional Modeling, Star Schema, and Snowflake Schema.
• Advanced SQL skills, query optimization, and performance tuning.
• Experience developing ETL/ELT pipelines and integrating data from multiple sources.
• Knowledge of Azure Data Lake Storage (ADLS Gen2) is a plus
• Experience in Banking or Financial Services is preferred

Schedule

• As per client requirements

How to apply

• Share your updated resume via LinkedIn DM
• Share your resume by email

Location

• Chicago, IL