Azure Data Engineer

We are seeking a highly skilled Data Engineer with strong expertise in Azure Data Factory , Azure Databricks , Oracle , and PostgreSQL . The ideal candidate will design and implement robust data pipelines, optimize data flows, and contribute to our cloud data platform initiatives using the Microsoft Azure ecosystem.

- Design, build, and maintain scalable data pipelines using Azure Data Factory and Databricks (Spark-based) . - Ingest, transform, and orchestrate data from various sources including Oracle and PostgreSQL databases. - Collaborate with data analysts, data scientists, and other stakeholders to understand data requirements and deliver clean, reliable data. - Optimize performance of data workflows, especially within Azure environments. - Implement data quality checks, lineage tracking, and monitoring processes. - Follow and contribute to data governance, security, and compliance policies. - Participate in code reviews, documentation, and continuous improvement initiatives.

- Strong hands-on experience with Azure Data Factory and Azure Databricks (PySpark/Scala preferred). - Solid working knowledge of Oracle and PostgreSQL databases, including writing efficient SQL queries. - Proficient in building ETL/ELT workflows and data orchestration on Azure. - Experience with Azure storage solutions (Blob Storage, ADLS Gen2). - Strong understanding of data modeling, warehousing concepts, and performance optimization. - Familiarity with CI/CD pipelines in Azure DevOps is a plus. - Excellent problem-solving skills and ability to work independently or in a team.