Job Description

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.