Data Engineer

Responsibilities : Manage the design, development, implementation, and maintenance of the company's data sources.

Establish and enforce data management policies to ensure the quality, integrity, and security of enterprise data.

Design, develop, and implement ETL pipelines using various integration tools.

Collaborate with Data Analysts to translate analytics requirements into scalable and efficient data model designs.

Create and maintain robust data warehouse architectures to support organizational data needs.

Ensure consistent data quality by performing routine testing and troubleshooting of ETL pipelines.

Coordinate closely with the Application Development team to implement best practices in data processing and integration.

Maintain comprehensive documentation of applied changes in production databases.

Perform other tasks and projects as assigned by the Senior IT Manager.

Qualifications : Bachelors degree in Information Technology or a related field.

Strong understanding and familiarity with ETL processes.

Proficiency in data integration tools such as Oracle Data Integrator and Informatica.

Expertise in SQL, Python, and other programming languages.

Experience with Greenplum and Talend is a plus.

Ability to work onsite and flexibility to extend working hours when needed.

Proactive, detail-oriented, and capable of working effectively under pressure.