We are seeking a talented Azure Data Engineer to join our team. As an Azure Data Engineer, you will play a crucial role in designing, implementing, and managing data solutions on the Microsoft Azure platform. You will work closely with data architects, data scientists, and business stakeholders to build scalable and efficient data systems that support our analytics and business intelligence initiatives. 

Key Responsibilities: 

• Data Pipeline Development: Design, build, and maintain robust data pipelines and ETL processes using Azure Data Factory, Azure Databricks, or other relevant Azure services. 
• Data Storage Solutions: Implement and manage data storage solutions using Azure SQL Database, Azure Synapse Analytics, Azure Data Lake, and other data storage technologies. 
• Data Integration: Integrate data from various sources, including on-premises and cloud-based systems, ensuring data quality and consistency. 
• Performance Tuning: Optimize data processing and storage solutions for performance, scalability, and cost-efficiency. 
• Collaboration: Work with cross-functional teams to understand data requirements and deliver solutions that meet business needs. 
• Monitoring & Maintenance: Monitor data systems and pipelines for performance and reliability, and troubleshoot any issues that arise. 
• Documentation: Create and maintain documentation for data engineering processes, architectures, and best practices. 
• Security & Compliance: Ensure data security and compliance with industry regulations and company policies. 

Qualifications: 

• Experience: Must have 5 –7 years of experience as a Data Engineer with hands-on experience working with Azure data services and technologies. 
• Technical Skills: Proficiency in SQL and experience with programming languages such as Python or Scala. Hands-on experience with Azure services like Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, and Azure SQL Database. 
• Tools & Platforms: Familiarity with data modeling, data warehousing concepts, and big data technologies (e.g., Azure HDInsight, Apache Spark). 
• Analytical Skills: Strong problem-solving abilities and the capability to analyze and interpret complex data. 
• Communication: Excellent communication skills with the ability to present technical concepts to non-technical stakeholders. 

Preferred Qualifications: 

• Certifications: Microsoft Certified: Azure Data Engineer Associate or similar Azure certifications. 
• Experience: Experience with real-time data processing and streaming solutions (e.g., Azure Stream Analytics, Apache Kafka).