Talend Developer with Fivetran/HVR_ Independent consultants only - Remote

As a Talend Developer at MSRcosmos, your primary responsibilities will include designing and developing data integration processes using Talend and Fivetran/HVR. You will manage ETL processes, ensure the quality and integrity of data, and collaborate with cross-functional teams to streamline data workflows. Additionally, your knowledge of AWS and data pipelines will help enhance our existing systems and improve performance.

To qualify as a Talend Developer with MSRcosmos, you should have over 6 years of experience in data integrations and expertise in Talend, Fivetran, and HVR, each for a minimum of 3 years. Familiarity with AWS services such as Redshift and S3 is also necessary. Knowledge of Python and Spark will give you an edge in this position, enabling you to tackle complex data challenges effectively.

Yes, experience with AWS is a critical requirement for the Talend Developer position at MSRcosmos. You should be familiar with AWS services, particularly Redshift and S3. This knowledge will not only help you design effective data pipelines but also ensure that our data solutions are scalable and well-integrated with cloud technologies.

Absolutely! The Talend Developer role at MSRcosmos is completely remote, allowing you to work from anywhere in the USA. We believe in providing flexibility to our team members while still ensuring collaboration and effective communication through our virtual platforms.

At MSRcosmos, we foster a culture of innovation, collaboration, and continuous learning. As a Talend Developer, you will be encouraged to share ideas, work with diverse teams, and contribute to both personal and collective growth. We value work-life balance and create an environment where your skills can truly shine.

When responding, structure your answer to highlight specific projects you've completed using Talend, Fivetran, or HVR. Discuss how you designed the data integration, any challenges you faced, and the results of your efforts. Providing quantifiable outcomes will enhance your credibility.

In your answer, break down the core components of the ETL process you've used. Describe how you extract data from various sources, transform it to meet business requirements, and load it into databases. Share a specific example to illustrate your expertise.

Discuss methods you’ve used to maintain data quality, such as validation rules, data cleaning techniques, and testing procedures. Highlight how these practices have contributed to successful projects and improved data reliability in previous roles.

Share a particular challenge, such as dealing with inconsistent data formats or scaling issues. Describe how you identified the issue, the steps you took to resolve it, and what you learned from the experience. Focus on problem-solving skills.

Detail the objectives of the pipeline, the tools you utilized (such as Talend and AWS services), and the steps involved in its design. Emphasize the outcomes achieved and how it benefited the organization.

Talk about the importance of clear communication and defining roles in a team setting. Share specific examples of how you’ve successfully collaborated with data engineers, analysts, or business stakeholders to achieve project goals.

Provide an overview of the AWS services you have hands-on experience with, particularly focusing on S3 and Redshift. Discuss how you’ve used these services in integration projects and their importance in data management.

Mention the resources you rely on, such as online courses, webinars, and professional literature. Highlight any relevant communities or forums you participate in, demonstrating your commitment to continuous learning in your field.

Discuss specific scenarios where you've utilized Python or Spark in your projects, such as data transformation or processing large datasets. Share any tools or libraries you find essential to your work and how they enhanced project outcomes.

Align your goals with the evolving landscape of data technology. Mention aspirations for growth in your technical skills, leadership roles, or contributions to innovative projects. Showing that you have a clear vision will resonate well with interviewers.