Senior talend developer

19 hours ago


India Quant Systems - A Sonata Software Company Full time

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 Event Bridge and Lambda. Work with cloud-based and on-premises databases, including SQL, No SQL, 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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