Data Engineer, Fabric, Power BI
Description:
• Design, develop, and maintain robust data pipelines using Databricks and Microsoft Fabric
• Write optimized SQL queries and develop data transformation logic
• Automate data workflows and ETL processes using Python
• Integrate and manage data across Azure Data Services (e.g., Data Lake, Synapse, SQL Database)
• Build and maintain Power BI dashboards and reports for business stakeholders
• Collaborate with data analysts, scientists, and business teams to understand data needs
• Ensure data quality, integrity, and security across systems
• Document data processes and contribute to engineering best practices
Requirements:
• 3-5 years of experience in data engineering or a related field
• Proficiency in Python and SQL (must-have)
• Hands-on experience with Microsoft Fabric , Databricks , and Power BI
• Familiarity with the Microsoft Data Stack (e.g., Azure Synapse, Data Factory, SQL Server)
• Strong analytical and problem-solving skills
• Excellent communication and collaboration abilitiesNice to Have: Certifications in Databricks, Azure, or Microsoft FabricExperience with CI/CD pipelines and version control (e.g., Git)Exposure to data modeling and ETL frameworksIndustry experience in financial services or legal domainsEducation: Preferred: Associate or bachelor's degree in a related field. Certifications: Required: None
Benefits:
• Click here to learn about Epiq's Benefits.
Apply Now
Apply Now
• Design, develop, and maintain robust data pipelines using Databricks and Microsoft Fabric
• Write optimized SQL queries and develop data transformation logic
• Automate data workflows and ETL processes using Python
• Integrate and manage data across Azure Data Services (e.g., Data Lake, Synapse, SQL Database)
• Build and maintain Power BI dashboards and reports for business stakeholders
• Collaborate with data analysts, scientists, and business teams to understand data needs
• Ensure data quality, integrity, and security across systems
• Document data processes and contribute to engineering best practices
Requirements:
• 3-5 years of experience in data engineering or a related field
• Proficiency in Python and SQL (must-have)
• Hands-on experience with Microsoft Fabric , Databricks , and Power BI
• Familiarity with the Microsoft Data Stack (e.g., Azure Synapse, Data Factory, SQL Server)
• Strong analytical and problem-solving skills
• Excellent communication and collaboration abilitiesNice to Have: Certifications in Databricks, Azure, or Microsoft FabricExperience with CI/CD pipelines and version control (e.g., Git)Exposure to data modeling and ETL frameworksIndustry experience in financial services or legal domainsEducation: Preferred: Associate or bachelor's degree in a related field. Certifications: Required: None
Benefits:
• Click here to learn about Epiq's Benefits.
Apply Now
Apply Now