Senior Azure Data Engineer

Job Description

Position : Sr Azure Data Engineer Location: Remote Time : CET Time Role & responsibilities We are seeking a highly skilled Senior Data Engineer to join our dynamic team. The ideal candidate will have extensive experience in Microsoft Azure, Fabric Azure SQL, Azure Synapse, Python, and Power BI. Knowledge of Oracle DB and data replication tools will be preferred . This role involves designing, developing, and maintaining robust data pipelines and ensuring efficient data processing and integration across various platforms. Candidate understands stated needs & requirements of the stakeholders and produce high quality deliverables Monitors own work to ensure delivery within the desired performance standards. Understands the importance of delivery within expected time, budget and quality standards and displays concern in case of deviation. Good communication skills and a team player Design and Development: Architect, develop, and maintain scalable data pipelines using Microsoft Fabric and Azure services, including Azure SQL and Azure Synapse. Data Integration : Integrate data from multiple sources, ensuring data consistency, quality, and availability using data replication tools. Data Management: Manage and optimize databases, ensuring high performance and reliability. ETL Processes: Develop and maintain ETL processes to transform data into actionable insights. Data Analysis: Use Python and other tools to analyze data, create reports, and provide insights to support business decisions. Visualization : Develop and maintain dashboards and reports in Power BI to visualize complex data sets. Performance Tuning : Optimize database performance and troubleshoot any issues related to data processing and integration Preferred candidate profile Minimum 7 years of experience in data engineering or a related field. Proven experience with Microsoft Azure services, Fabrics including Azure SQL and Azure Synapse. Strong proficiency in Python for data analysis and scripting. Extensive experience with Power BI for data visualization. Knowledge of Oracle DB and experience with data replication tools. Proficient in SQL and database management. Experience with ETL tools and processes. Strong understanding of data warehousing concepts and architectures. Familiarity with cloud-based data platforms and services. Analytical Skills: Ability to analyze complex data sets and provide actionable insights. Problem-Solving: Strong problem-solving skills and the ability to troubleshoot data-related issues.