Data Integration Specialist(Talend Developer)

Job Summary: We are seeking a highly skilled and motivated Data Integration Specialist with a minimum of 5 years of experience in data integration. The ideal candidate will have hands-on experience with Talend, expertise in ETL processes, proficiency in Java, and a strong background in creating and managing data pipelines. This role involves collaborating with cross-functional teams to design, develop, and maintain efficient data integration solutions that drive business success

Key Responsibilities:

1. Data Integration:

o Design, develop, and implement data integration solutions using Talend and other ETL tools.

o Ensure seamless integration of data from various sources, including databases, APIs, and flat files.

2. ETL Development:

o Create and maintain ETL workflows and processes to extract, transform, and load data into target systems.

o Optimize ETL processes for performance, scalability, and reliability.

3. Data Pipeline Management:

o Design and manage data pipelines to support data ingestion, processing, and storage.

o Monitor and troubleshoot pipeline performance and resolve issues promptly.

4. Java Development:

o Develop and maintain custom Java components and scripts to support data integration and transformation needs.

o Ensure code quality, reusability, and adherence to best practices.

5. Collaboration:

o Work closely with business analysts, data architects, and stakeholders to understand data integration requirements.

o Collaborate with team members to deliver high-quality solutions on time.

6. Documentation and Reporting:

o Create and maintain comprehensive documentation for data integration processes and workflows.

o Provide regular updates and reports on project progress and data integration activities.

Required Qualifications:

Minimum 5 years of experience in data integration and ETL processes.

Hands-on experience with Talend data integration tools.

Proficiency in Java programming for data-related tasks.

Strong understanding of ETL concepts and best practices.

Experience in designing and managing data pipelines.

Solid knowledge of relational databases, SQL, and data modeling.

Familiarity with data governance and data quality principles.

Excellent problem-solving skills and attention to detail.

Strong communication and collaboration abilities.