Talend Administrator

Install, Set up and configure Talend environments for development, testing, and production, ensuring proper permissions and security settings.

Monitor Talend jobs and processes, troubleshoot issues, and ensure successful job executions.

Manage and schedule jobs through Talend Administration Center, handling dependencies and ensuring efficient workflow.

Perform system upgrades, patches, and regular maintenance on Talend servers to ensure high availability and performance.

Identify performance bottlenecks in Talend jobs and optimize them for better efficiency.

Conduct regular performance tuning of Talend environments and recommend improvements.

Proactively manage Talend job load balancing, resource allocation, and scaling as per data processing needs.

Ensure Talend environment adheres to security best practices, implementing proper access controls and user management.

Troubleshoot Talend job failures and system issues, coordinating with other IT teams when necessary.

Resolve issues related to connectivity, performance, and errors in Talend workflows.

Maintain and manage logs and error tracking to ensure smooth operation and continuous improvements.

Document Talend environment setup, configurations, processes, and troubleshooting steps

Provide technical support and guidance to development and data engineering teams using Talend.

Create and maintain operational and best practice documentation for the Talend platform.

Minimum 5+ years of experience in Talend Administration, with strong expertise in Talend Administration Center (TAC).

Hands-on experience managing Talend environments for data integration, ETL, and data quality projects.

Proven experience with Talend performance tuning, job scheduling, and troubleshooting.

Proficiency in Linux/Unix and Windows operating systems.

Strong knowledge of databases (e.g., Oracle, SQL Server, MySQL) and SQL for query tuning.

Experience with cloud platforms (e.g., AWS, Azure, GCP) and cloud-based Talend setups is a plus.

Understanding of data warehousing concepts, ETL processes, and data quality practices.