Azure Data Engineer

Summary: We are seeking a Data Engineer with deep expertise in ETL/ELT, PySpark, Databricks, Azure ecosystem, and experience with Enterprise Systems like Oracle ERP, ERP Fusion, and Salesforce.  The successful candidate will play a key role in designing and implementing complex data pipelines, handling both structured and unstructured datasets, and optimizing our Azure-based data systems. The successful candidate will have a strong foundation in data warehousing concepts and database design. Additionally, this individual will work closely with other data engineers & the data science team to support their analytics needs and improve the performance of our data products.

Key Responsibilities:

• Design, construct, install, test, and maintain highly scalable and robust data management systems.
• Understand and apply data warehousing concepts to design and implement robust data warehouse tables in line with business requirements.
• Build complex ETL/ELT processes for large-scale data migration and transformation across platforms and Enterprise systems such as: Oracle ERP, ERP Fusion, and Salesforce.
• Ability & expertise to extract data from several sources like APIs, Jsons, Databases etc
• Leverage PySpark and Databricks within the Azure ecosystem to manipulate large datasets, improve the performance, and enhance scalability of our data operations.
• Develop and implement Azure-based data architectures consistent across multiple projects while adhering to best practices and standards.
• Lead initiatives for data integrity and normalization within Azure data storage and processing environments.
• Evaluate and optimize Azure-based database systems for performance efficiency, reusability, reliability, and scalability.
• Troubleshoot complex data-related issues within Azure and provide expert guidance and support to the team.
• Ensure all data processes adhere to governance, data security, and privacy regulations.