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

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