Talend Developer with Fivetran/HVR_ Independent consultants only - Remote

As a Talend Developer with Fivetran/HVR at MSRcosmos, you'll be responsible for designing and implementing data integration workflows, optimizing ETL processes, and ensuring data quality across various systems. You will also manage data pipelines on AWS and work on projects that require collaboration with cross-functional teams to deliver data solutions that meet business needs.

To apply for the Talend Developer position at MSRcosmos, you should have a minimum of 6 years of experience in data integrations, along with at least 3 years of hands-on experience with both Fivetran or HVR and Talend. Additionally, familiarity with AWS services, particularly Redshift and S3, will enhance your application. Knowledge of Python and Spark is a plus.

Yes, the Talend Developer position at MSRcosmos is fully remote, allowing you to work from anywhere in the USA. This flexibility is ideal for independent consultants who appreciate a balance between professional and personal life.

Essential technologies for the Talend Developer position at MSRcosmos include Talend, Fivetran or HVR, AWS services (especially Redshift and S3), and knowledge of data pipelines. Having experience with Python and Spark will be beneficial as well.

At MSRcosmos, the work culture for remote consultants is collaborative and flexible. We emphasize open communication, continuous learning, and a strong commitment to achieving business success while serving the community. You'll be part of a team that values your expertise and contributions.

When answering this question, focus on specific projects where you utilized Talend. Highlight your role, the challenges you faced, how you solved them using Talend, and the outcomes of your projects. Specific examples help to demonstrate your expertise effectively.

Detail your approach to optimizing ETL processes, such as minimizing data duplication, enhancing data quality, and improving processing speed. Discuss any tools or techniques you've employed to monitor performance and make adjustments when necessary.

Being prepared to discuss data integrity measures will impress interviewers. Talk about quality checks, logging, and reconciliation processes you use to track data changes and any audits you've performed to maintain accuracy.

Share specific projects and detail how you implemented AWS services. Discuss your familiarity with Redshift, S3, and any other relevant services, emphasizing how they facilitated your data integration and storage solutions.

Use the STAR (Situation, Task, Action, Result) method to describe a challenging scenario. Focus on the actions you took, the tools and methodologies you used, and the benefits that resulted from your solution.

Demonstrate your ability to prioritize and manage time effectively. Discuss any tools or methodologies you apply to keep yourself organized. Mention past experiences where you met or exceeded project deadlines without compromising quality.

Talk about key practices such as modular design, error handling, and ensuring scalability. Mention how you test pipelines and monitor performance, and how you’ve adjusted strategies based on project feedback.

If you have experience with Python and Spark, share how you applied them in your data projects. Provide specific examples of how they enhanced your data processing capabilities and integration efforts.

Discuss your communication style and the importance of understanding the needs of different stakeholders. Share your experiences in documenting processes and gathering requirements to ensure smooth collaboration.

This is a great opportunity to express your passion for data and development. Talk about your desire to create impactful solutions, the challenges you enjoy tackling in data integration, and how continuous learning keeps you motivated.