The Data Developer 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.

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.