Talend specialists for your dedicated team.

Where Talend fits in a long-term product team.

Generating Java from a visual design is Talend's distinguishing property. Jobs run as ordinary Java, so they can be deployed anywhere a JVM runs and can call Java where the visual components run out, a useful escape hatch that purely declarative tools lack.

Visual jobs are difficult to review. A diff of a Talend job is a diff of generated XML, which tells a reviewer very little about what changed. That pushes teams to review in the designer, outside the repository, which weakens the review discipline applied to everything else.

What your dedicated team does with Talend.

Jobs built graphically over years accumulate the same debt as code, with less visibility. Duplicated subjobs, inconsistently configured components and logic hidden in a single component are all common, and none of them show up in a listing.

Bringing that under the same standards as application code is ordinary discipline, held by the assigned specialists as part of an agreed committed monthly capacity.

Common Talend use cases.

• Java where the components stop Custom logic dropped into a generated job, without leaving the platform.
• Jobs deployed like any artefact Generated code running wherever a JVM does, inside normal deployment tooling.
• Review discipline applied to visual jobs Standards and documentation that survive the fact that diffs are unreadable.

Adding Talend skills to your team.

Talend work is assigned inside data engineering capacity, with generated jobs held to the same review and deployment standards as application code.

At Azendo, Talend work sits with a dedicated data engineering team. Every Talend specialist we assign works remotely inside your tools as a dedicated member of your team, with the management on our side. It is how companies hire remote developers without opening an offshore office of their own.