ETL/ELT Pipeline Development: Design, develop, and test Talend jobs to extract, transform, and load data from various sources (flat files, APIs, databases) into target systems
Talend Developer designs, builds, and maintains robust ETL/ELT data pipelines. They translate business requirements into scalable data integration processes, moving and transforming large-scale datasets from disparate sources into central data warehouses or lakes
Database & SQL Optimization: Write and optimize complex SQL queries, stored procedures, and triggers for relational and cloud databases.
Performance Tuning: Optimize jobs and workflows for high-volume, batch, or real-time data processing to ensure efficiency and reduce execution time.
System Integration: Integrate Talend with cloud platforms (e.g., AWS, Azure) and modern data warehouses (e.g., Snowflake, Redshift).
Troubleshooting & Maintenance: Monitor scheduled jobs, debug errors, and resolve data quality or pipeline issues in production environments.

Mandatory Technical Skill

sCore Tooling: Proficiency in Talend Data Integration (TDI), Talend Big Data, or Talend Cloud

.Programming Languages: Strong command of Java (as Talend generates Java code) and basic scripting

.Database Platforms: Deep knowledge of SQL, PL/SQL, and relational database management systems (RDBMS) like MySQL, MS SQL Server, or Oracle

.Data Warehousing: Solid understanding of dimensional modeling, star/snowflake schemas, and data lake architecture

Talend Developer