Consultant - Analytics

📋 Description

• Analyze, transform, and structure raw data from multiple sources.
• Design, develop, and maintain scalable datasets and data pipelines.
• Improve data quality, reliability, performance, and processing efficiency.
• Design and implement cloud-based data engineering solutions.
• Develop solution architecture, technical designs, and implementation documentation.
• Develop and integrate REST services and APIs.

🎯 Requirements

• Python (PyData, Pandas, NumPy, PySpark)
• SQL (MS SQL Server, Oracle, Teradata)
• Azure Data Factory and Azure Databricks
• Kubernetes, Docker, CI/CD (GitHub Actions/Jenkins)
• REST APIs, Apigee X/Edge, Swagger/OpenAPI
• 5–8 years of Data Engineering/Analytics experience

🎁 Benefits