Data Engineer

Required Skills: Strong hands-on experience with Azure Databricks. Experience in Azure Data Factory (ADF). Proficient in Python programming and scripting. Strong SQL development experience with MS SQL Server (preferred). Experience in designing and implementing ETL/ELT solutions. Understanding of data warehousing concepts and data modeling. Ability to troubleshoot and optimize data processing workloads. Preferred Skills: Experience working in Agile/Scrum environments using JIRA. Experience with Azure DevOps, including source code management, branching strategies, and code check-ins. Experience working with ServiceNow for incident, change, and service management processes. Knowledge of CI/CD implementation for data engineering projects. Exposure to cloud-native data architecture and best practices. Experience Required: 5+ years of overall experience in Data Engineering and Data Integration. 3+ years of hands-on experience with Azure Data Services (ADF, Databricks). Strong experience in SQL and Python-based development. Educational Qualifications Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field. Preferred Certifications Microsoft Certified: Azure Data Engineer Associate Microsoft Azure Fundamentals Databricks Certified Data Engineer (Preferred) Key Competencies: Strong analytical and problem-solving skills. Excellent communication and stakeholder management skills. Ability to work independently and within distributed teams. Strong attention to detail and commitment to quality. Keywords: Databricks, Azure Data Factory (ADF), Python, SQL Server, Azure Data Engineering, ETL, ELT, Azure DevOps, JIRA, ServiceNow, Data Warehousing, Data Integration. VBeyond