Talend Developer

Nice Software Solutions Pvt. Ltd.; Bhavnagar; Hybrid; INR 1,200,000 - 2,400,000; Full time

Job summary

Nice Software Solutions Pvt. Ltd. is seeking a Talend Developer with 4–12 years of ETL experience to build and maintain data pipelines. You will work across development, testing, and production environments on data integration projects using Talend Data Integration and TAC.

The role requires strong SQL/PLSQL skills, data quality knowledge, and experience with SIT/UAT and deployments. Remote options are available, with on-site Pune/Nagpur as part of the role.

Qualifications

• 4 years of experience in ETL Development / Data Integration.
• Strong hands-on experience with Talend Data Integration.
• Excellent SQL and PL/SQL skills.
• Experience with TAC and ETL tooling.
• Understanding of data quality frameworks and governance practices.
• Experience supporting SIT, UAT, and production deployments.

Responsibilities

• Design and develop Talend ETL/ELT pipelines for enterprise data integration.
• Implement data transformations, mappings, and validation logic.
• Integrate data from multiple sources including relational databases and enterprise systems.
• Ensure ETL pipelines are efficient, scalable, and maintainable.
• Implement data quality checks and validation rules within ETL processes.
• Support data masking and compliance where applicable.
• Maintain data mappings and lineage documentation.
• Perform UT/SIT/UAT testing and collaborate with business teams.
• Deploy ETL jobs via Talend Administration Center and manage environments.
• Support production deployments and post-deployment troubleshooting.

Skills

ETL Development

Talend Data Integration

SQL/PLSQL

Data Quality

Governance

SIT/UAT Deployments

Tools

Talend TAC

Job description

We have 3 positions open, 2 positions for 4-8 years, 1 Position for 8+ Years for Pune/Nagpur/Remote

Talend Developer – Data Integration

Location: Pune / Nagpur / Remote

Experience: 4–12 Years

About the Role

We are looking for a Talend Developer with strong hands-on experience in ETL development and data integration. The role involves building and maintaining data pipelines, performing data transformations, supporting testing cycles, and ensuring smooth ETL deployments across enterprise data platforms.

The ideal candidate should have solid experience in Talend Data Integration, SQL development, and ETL pipeline implementation.

Key Responsibilities

1. ETL Development

• Design and develop Talend ETL/ELT pipelines to support enterprise data integration initiatives.
• Implement data transformations, mappings, and validation logic.
• Integrate data from multiple sources including relational databases and enterprise systems.
• Ensure ETL pipelines are efficient, scalable, and maintainable.

2. Data Quality & Governance

• Implement data quality checks and validation rules within ETL processes.
• Support PII masking and compliance requirements where applicable.
• Maintain proper data mapping documentation and lineage tracking.

3. Testing & Validation

• Perform Unit Testing (UT) for Talend jobs and transformation logic.
• Support System Integration Testing (SIT) and resolve data issues.
• Collaborate with business teams during User Acceptance Testing (UAT).

4. Deployment & Environment Support

• Deploy ETL jobs using Talend Administration Center (TAC).
• Support environment management across Development, SIT, UAT, and Production.
• Assist with release activities and production deployments.

5. Production Support

• Provide post-deployment support and troubleshooting.
• Analyze data issues and support Root Cause Analysis (RCA).
• Monitor ETL job performance and assist in optimization.

Required Skills & Experience

• 4 years of experience in ETL Development / Data Integration.
• Strong hands-on experience with Talend Data Integration.
• Excellent SQL and PL/SQL skills.
• Experience working with Talend Administration Center (TAC).
• Understanding of data quality frameworks and governance practices.
• Experience supporting SIT, UAT, and production deployments.

Good to Have

• Experience working with large-scale data platforms.
• Exposure to cloud data environments or modern data engineering tools.