Azure Data Engineer

• Design, develop, and maintain scalable ETL/ELT pipelines for batch and real-time data processing
• Build and optimize data models, Delta Tables, and Lakehouse architectures for analytics and reporting
• Develop and integrate RESTful APIs and data services across enterprise systems
• Implement real-time and high-frequency data ingestion using streaming technologies and event-driven architectures
• Design and manage cloud-native data solutions using Azure Data Factory, Azure Databricks, ADLS, Event Hubs, and Synapse Analytics
• Develop and optimize Databricks Spark applications for large-scale data transformation and processing
• Ensure data quality, governance, security, and compliance across data platforms
• Collaborate with data scientists, analysts, application teams, and business stakeholders
• Troubleshoot, monitor, and optimize pipeline performance and data platform reliability
• Support DataOps and CI/CD practices for data pipeline deployment and automation

• Strong proficiency in SQL and relational databases such as Oracle, SQL Server, and MySQL
• Strong programming skills in Python, PySpark, PL/SQL, Java, or Scala
• Hands-on experience with Azure Cloud technologies: Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Azure Synapse Analytics, Azure Event Hubs, Azure Functions, Azure API Management, and Azure DevOps
• Experience with Databricks Lakehouse architecture, Delta Lake, and Delta Tables
• Expertise in API development, API integration, RESTful services, and microservices architecture
• Experience processing high-volume and high-frequency data with low-latency requirements
• Strong knowledge of real-time data ingestion and streaming technologies such as Kafka, Azure Event Hubs, or Kinesis
• Experience with Spark, Hadoop, and distributed data processing frameworks
• Hands-on experience with OpenShift, Kubernetes, Docker, and containerized deployments
• Experience with workflow orchestration tools such as Apache Airflow and Azure Data Factory
• Understanding of data governance, data security, and compliance best practices
• Azure Data Engineer (DP-203) and Databricks certifications mandatory
• Advanced English
• Python and Azure SQL mandatory skills