Data Integration Specialist(Talend Developer)
20 hours ago
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.
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