Data Developer

The Data Developer should be a full-stack data engineering professional with expertise in developing, integrating, and maintaining enterprise data solutions across hybrid cloud and on-premise environments. The role requires strong knowledge of ETL/ELT development, database development, data integration, data warehousing, and API-based integrations to support analytics, enterprise reporting, and operational systems. The Data Developer should ensure reliable, secure, and high-performance data pipelines while supporting enterprise data platforms and digital transformation initiatives.

Qualifications

• Minimum 5–7 years of experience in data engineering, ETL/ELT development, database development, or enterprise data integration.
• Experience in designing, developing, and maintaining enterprise data pipelines, ETL/ELT processes, and data warehouse solutions.
• Strong expertise in SQL, PL/SQL, database development, stored procedures, query optimization, and performance tuning.
• Hands-on experience in integrating data from multiple enterprise systems, databases, cloud platforms, APIs, and third-party applications.
• Experience with Oracle Database, Oracle Exadata, SQL Server, Hadoop, Azure Data Lake, Microsoft Fabric, Oracle Cloud Infrastructure (OCI), and cloud-based data platforms.
• Expertise in enterprise ETL and data integration tools such as Informatica, Oracle Data Integrator (ODI), SAP Data Integrator, and Azure Data Factory.
• Strong understanding of data warehousing concepts, data modeling, data transformation, data quality, and data security.
• Experience in developing API-based integrations, automation, and batch/real-time data processing solutions.
• Knowledge of DevOps practices, version control, CI/CD pipelines, and monitoring of enterprise data integration processes.
• Experience working with Oracle Fusion ERP, Student Information Systems (SIS), CRM, HR, Finance, and other enterprise applications is highly desirable.
• Experience in higher education data environments and supporting enterprise analytics, AI, and reporting initiatives will be an added advantage.