Quant Systems
21 hours ago
Talend Developer will be responsible for designing, developing, and maintaining Talend jobs to support enterprise-level data initiatives while playing a key role in leading and managing engineering teams. The ideal candidate will have a strong background in ETL processes, data integration, and expertise in Talend Data Integration tools.
Role Description
- Design, develop, and implement ETL processes using Talend to extract, transform, and load data from various sources.
- Collaborate with cross-functional teams to understand business requirements and translate them into scalable Talend solutions.
- Lead and manage a team of engineers, providing technical guidance, mentoring, and ensuring the successful delivery of data solutions.
- Extensive hands-on experience with ETL tools like Talend and data platforms such as Netezza and Snowflake.
- Optimize and troubleshoot Talend jobs for performance, reliability, and scalability.
- Perform data integration, data quality checks, and ensure data consistency across different systems.
- Develop and maintain documentation for ETL processes, data flows, and job schedules.
- Implement real-time data ingestion and streaming solutions using tools such as Kafka and AWS services like EventBridge and Lambda.
- Work with cloud-based and on-premises databases, including SQL, NoSQL, and cloud platforms such as AWS.
- Handle semi-structured data formats, such as JSON and XML, in data workflows.
- Develop automation scripts using Python for data processing and monitoring.
- Participate in code reviews, ensure best practices are followed, and maintain high-quality standards in all Talend jobs.
- Monitor, maintain, and continuously improve existing data pipelines.
Qualifications
- Bachelor's degree in computer science, Information Technology, or a related field.
- 5+ years of experience in data engineering with a focus on ETL, data integration, and real-time data ingestion.
- Extensive hands-on experience with Talend, Netezza, Snowflake, and strong SQL skills.
- Proven leadership in managing engineering teams and delivering data solutions.
- Proficiency in Python, cloud services (AWS), and working with semi-structured data (JSON, XML).
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