Description :

Key Responsibilities :

- ETL/Data Pipeline Development : Design, build, and deploy end-to-end data integration workflows and ETL jobs using Talend.

- Enterprise Integration : Leverage Talend ESB and Integration Runtime to build and manage real-time data services and application integrations.

- Data Replication & Governance : Implement and manage data replication strategies using Qlik Replicate and maintain data governance structures via Talend Data Catalogue.

- Big Data Integration : Develop and optimize scalable data processing solutions using Big Data ecosystems, Databricks, and PySpark.

- Custom Customization : Write clean, efficient, and reusable custom Java code within Talend components to handle complex transformations.

- Performance Tuning : Monitor, troubleshoot, and optimize ETL job performance and SQL queries to ensure maximum efficiency.

Required Skills & Qualifications :

Technical Competencies :

- Core ETL : Mastery of Talend Data Integration (DI).

- ESB & Integration : Strong understanding of Talend ESB and Integration Runtime architectures.

- Programming : Strong proficiency in Java programming (essential for Talend custom routines).

- Data Tools : Hands-on experience with Qlik Replicate and Talend Data Catalogue.

- Big Data Ecosystem : Practical working knowledge of Databricks, PySpark, and cloud data warehouses.

Soft Skills & Experience :

- 5+ years of professional experience in data engineering or data integration roles.

- Strong analytical and problem-solving skills to handle complex data mapping and transformation logic.

- Excellent communication skills to collaborate effectively in a remote/distributed team environment.

- Ability to work independently with minimal supervision.