Description :

The Data Transformation Engineer is responsible for designing, developing, and optimizing ETL processes to extract, transform, and load (ETL) data into a secure data warehouse. This role involves managing data infrastructure, optimizing big data processes, and working with cloud-based ETL solutions.

Key Responsibilities :

- Develop and maintain ETL pipelines using QlikTalend (mandatory).

- Ensure data quality, validation, and consistency.

- Design scalable cloud-based data architectures and optimize performance.

- Work with SQL, Java, or Scala for data transformation.

- Manage data integration tools (Talend, Informatica, SSIS, Apache Nifi).

- Collaborate with stakeholders and manage third-party vendors.

- Ensure compliance with IT policies, security, and data privacy standards.

- Provide technical support, optimize processes, and manage IT assets.

Required Qualifications & Expertise :

- Mandatory : Hands-on experience with QlikTalend for ETL and data integration.

- 5+ years of experience in data transformation or ETL development.

- Strong SQL skills and expertise in cloud-based ETL solutions (AWS ).