Data Engineer

Key Responsibilities:

- Design, develop, and maintain scalable data ingestion and transformation pipelines using Azure Data Factory (ADF), Databricks, and ADLS Gen2.

- Build and optimize ETL/Data Engineering solutions for enterprise data platforms.

- Develop and maintain Oracle Database objects, SQL queries, and PL/SQL programs.

- Work with Oracle Data Integrator (ODI) to develop and support ETL processes.

- Develop and manage data solutions using Azure SQL Database and Delta Lake (ADLS Gen2).

- Collaborate with business and technical stakeholders to understand data requirements.

- Ensure data quality, performance optimization, and reliability of data pipelines.

- Support ERP-related data integration and reporting initiatives.

- Troubleshoot and resolve data engineering and ETL issues.

Requirements:

- 3–5 years of experience in Data Engineering or ETL Development.

- Strong hands-on experience with:

Azure Data Factory (ADF)

Azure Databricks

Azure Data Lake Storage Gen2 (ADLS Gen2)

- Strong experience building data ingestion and transformation pipelines.

- Experience with Data Warehousing concepts and ETL processes.

- Oracle Database and PL/SQL development experience.

- Hands-on experience with Oracle Data Integrator (ODI).

- Experience with Azure SQL Database.

- Strong SQL and RDBMS knowledge.

- Experience working on ERP-related projects and accounting datasets.