Azure Data Engineer

Must Have: Certification: Required – Microsoft Certified: Azure Data Engineer Associate (or higher), Azure Data Factory,
Job Summary:

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.

Originally posted on Himalayas