Bachelor's Degree in Computer Science, Information Technology, Data Engineering, or a related field.
Minimum 7 years of experience as a Data Engineer or in a similar role.
Strong hands-on experience with Microsoft Azure, including Azure Data Factory (ADF), Azure Databricks, Azure Data Lake Storage (ADLS), Azure Key Vault, and Microsoft Entra ID (Azure AD).
Proficient in SQL and Python for data processing and automation.
Experience developing and maintaining ETL/ELT pipelines and cloud-based data solutions.
Hands-on experience with Power BI, GitHub, Azure DevOps, and CI/CD pipelines.
Familiar with Agile Scrum methodology and tools such as Jira.
Strong analytical, problem-solving, and communication skills.
Experience with API integration is an advantage.
Knowledge of Kusto (KQL), PowerShell, Bash, or Azure CLI is a plus.
Key Responsibilities
Design, develop, and maintain scalable data pipelines using Microsoft Azure technologies.
Build and optimize ETL/ELT processes to ensure efficient and reliable data integration.
Develop and manage data models, data lakes, and cloud-based data platforms.
Collaborate with cross-functional teams to deliver high-quality data solutions.
Develop and support Power BI dashboards and reporting solutions.
Implement CI/CD pipelines and follow best practices for version control and deployment.
Monitor, troubleshoot, and optimize data workflows to improve performance and reliability.
Ensure data quality, security, and governance standards are maintained.
Participate in Agile ceremonies and contribute to continuous improvement initiatives.
Stay updated with emerging Azure and data engineering technologies to drive innovation.