Data Engineer – Azure Platform

Job Description

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.

Key Responsibilities:

• 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.

Required Skills & Experience:

• 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