Talend Developer

Rigved Technologies; Navi Mumbai; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Rigved Technologies in Navi Mumbai is seeking a skilled data engineer to own and enhance Talend ETL workflows. Candidates should be strong in SQL and able to analyse and resolve data issues across large datasets.

You will develop and maintain ETL jobs, perform data validation, optimize queries for performance, and collaborate with business and technical stakeholders to improve data quality.

Qualifications

• 4+ years of experience in ETL / data engineering
• Strong hands-on experience with Talend ETL
• Experience working with Model N data and integrations
• Ability to analyze and resolve complex data issues
• Experience handling large datasets and complex transformations
• Good understanding of data mappings, data flows, and reconciliation processes
• Strong problem-solving and communication skills

Responsibilities

• Develop and maintain Talend ETL jobs.
• Perform data validation, reconciliation, and issue analysis
• Optimize ETL jobs and SQL queries for performance
• Support production data issues and data quality initiatives
• Work closely with business and technical stakeholders

Skills

Talend ETL

SQL

Data analysis

Tools

Model N

Job description

Only Mumbai and Navi Mumbai candidates profile will be considered

Job Description:

We require Talend ETL. Should be strong in SQL. Should be able to analyse and resolve data issues.

Key Requirements :

• 4+ years of overall experience in ETL / data engineering
• Strong hands-on experience with Talend ETL
• Experience working with Model N data and integrations
• Ability to analyze and resolve complex data issues
• Experience handling large datasets and complex transformations
• Good understanding of data mappings, data flows, and reconciliation processes
• Strong problem-solving and communication skills

Role Responsibilities :

• Develop and maintain Talend ETL jobs.
• Perform data validation, reconciliation, and issue analysis
• Optimize ETL jobs and SQL queries for performance
• Support production data issues and data quality initiatives
• Work closely with business and technical stakeholders