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Talend/Qlik ETL Developer
2 months ago
Talend/Qlik ETL Developer
Fulltime
Montreal
Job Description:
We are seeking a Talend/Qlik ETL Developer to join our dynamic team. The ideal candidate will be responsible for designing, developing, and maintaining ETL processes using Talend and Qlik tools. This role requires a strong understanding of data integration and transformation techniques, as well as experience in data visualization.
Responsibilities:
- Estimation and end to end execution of required changes, coordination with stakeholders as required
- Responsible for the development, maintenance and support of multiple applications or frameworks
- Translate high-level business requirements on multiple, complex requests into detailed functional, technical, and/or system specifications
- Test software designs and solutions (including unit testing and integrated testing)
- Build and maintain automated test suites for applications
- Support and respond to user queries or issues; determine the root cause and best resolution of escalated issues
- Work with data management team and data providers to communicate and define any data (including data quality) and reporting requirements
Requirements:
- At least 5+ years of hands-on application development utilizing ETL tools like Talend.
- Perform data profiling, cleansing and validation to ensure data accuracy and quality.
- Optimize Talend job performance and scalability, considering large volume of data.
- Good to have prior hands-on development experience on Java 8+, python, shell scripting.
- Experience in the development of service-oriented architecture application, good understanding of Object-Oriented Design and Design Patterns.
- Solid understanding of DB concepts and working with relational databases (DB2, Sybase or other).
- A strong understanding of SDLC principles and experience delivering in Agile/Scrum.
Strong analytical and design skills, including the ability to understand business requirements and translate them into efficient and effective technical designs that work well within large-scale, well-structured enterprise environments