REQUIREMENTS:

Strong proficiency in Databricks, Azure Data Factory and API integration.
Proficiency in programming languages such as Python, SQL and PySpark.
Familiarity with data modeling, ETL processes and data governance.
Design, develop and maintain robust and scalable data pipelines using Databricks, Azure Data Factory
Familiarity with DevOps practices and tools for CI/CD pipelines.
Experience with Azure cloud platform
Integrate data from various APIs and external sources to enrich and expand datasets.

PROJECT-SPECIFIC REQUIREMENTS:

Data Engineer will be responsible for creating a pipeline, ETL. Ingesting data from multiple sources like API, SharePoint, SAB. Communicate with stakeholders to gather and clarify requirements.
Regards,
Email: ana@apptoza.com , Phone#: 6788247770

Please refer the Job description for details