Description

You will design and deploy data pipelines, MLOps platforms, and customer-facing applications on Azure and on-premises environments.

This role is on-site.

Responsibilities

• Design and develop efficient data ingestion, processing, and orchestration pipelines to support business requirements.
• Implement modern cloud data architectures and engineering solutions on Azure, including Azure Data Lake, SQL Data Warehouse, and Blob Storage.
• Design, implement, and deploy applications on AKS cluster environments using Docker and Kubernetes.
• Build and maintain CI/CD automation pipelines using GitLab and Helm for production deployments.
• Create detailed technical documentation and ensure data quality, access control, and cost optimization.

Required Skills

• 5+ years of experience in developing data applications, software, and advanced analytics solutions.
• Strong proficiency in Python, SQL, and PySpark for data engineering and machine learning tasks.
• Hands-on experience with Azure PaaS solutions, including Azure ML, Event Hubs, and Data Factory.
• Experience with containerization (Docker, Kubernetes) and CI/CD tools (GitLab CI/CD).
• Understanding of RBAC, IAM access control, and data integration patterns.
• Ability to produce elegant, efficient code using Agile methodologies.

Preferred Skills

• Experience with Power BI for data visualization and reporting.
• Knowledge of Azure HDInsight and Azure Data Lake Analytics.

Key Skills

Education

Any Graduate