GDECA (Gravity Data Engineering & Cloud Analytics) · 4 months ago
Azure Data Engineer
GDECA (Gravity Data Engineering & Cloud Analytics) is seeking a highly skilled Data Engineer with expertise in Azure technologies. The role involves designing and implementing data pipelines, optimizing data flows, and contributing to cloud data platform initiatives using the Microsoft Azure ecosystem.
Information Technology & Services
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
Qualification
Required
Certification: Required – Microsoft Certified: Azure Data Engineer Associate (or higher)
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
Excellent problem-solving skills and ability to work independently or in a team
Preferred
Familiarity with CI/CD pipelines in Azure DevOps is a plus