Talend ETL Developer- 5 to 6yrs of exp- 15LPA- Hyderabad

Job Category: Talend ETL Developer
Job Type: Full Time
Job Location: Hyderabad
Salary: 13 - 15LPA
Years of Experience: 5-6 years

Job Summary
We are looking for a skilled Talend ETL Developer with 5-6 years of experience in
designing, developing, and maintaining data integration solutions. The ideal candidate should
have strong expertise in Talend, data warehousing concepts, and ETL processes, with the
ability to work in a fast-paced environment and collaborate with cross-functional teams.

Key Responsibilities

  • Design, develop, and deploy ETL workflows using Talend Open Studio / Talend
    Data Integration
  • Build and optimize data pipelines for large-scale data processing
  • Extract, transform, and load data from multiple sources (databases, APIs, flat files,
    cloud sources)
  • Ensure data quality, integrity, and consistency across systems
  • Perform data mapping, transformation, and validation
  • Troubleshoot ETL job failures and performance issues
  • Collaborate with Data Analysts, Data Engineers, and Business teams to understand
    requirements
  • Implement error handling, logging, and monitoring mechanisms
  • Optimize SQL queries and ETL jobs for performance tuning
  • Maintain proper documentation of ETL processes and workflows
  • Support production deployments and provide L2/L3 support when required
    Required Skills & Qualifications
  • 5 – 6 years of experience in ETL development
  • Strong hands-on experience with Talend (DI / Big Data / Cloud)
  • Proficiency in SQL (advanced queries, joins, performance tuning)
  • Experience with RDBMS (Oracle, SQL Server, MySQL, PostgreSQL)
  • Good understanding of data warehousing concepts (star schema, snowflake schema)
  • Experience in handling large datasets and performance optimization
  • Knowledge of Unix/Linux scripting
  • Familiarity with version control systems (Git, SVN)
  • Strong debugging and problem-solving skills
  • Good communication and teamwork abilities
  • Knowledge of CI/CD pipelines
  • Exposure to data governance and data quality tools

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