"ELT for the DataOps era
Meltano is open source, self-hosted, CLI-first, debuggable, and extensible."
That doesn't tell me what Meltano is.
I happen to recognise "ELT" as "Extract, load, transform" but I imagine a lot of people would have to look up the acronym.
I hadn't seen the term DataOps before, despite working in this area. DevOps for Data? But the definition of DevOps itself is still pretty vague!
I know how hard it is to explain what a product like this does - I'm definitely not there with my own https://datasette.io/ project yet - but what you've got right now could definitely do with some improvement.
Here's my attempt for Meltano, based on a very loose understanding of what it is:
"Meltano is an open-source tool for building automated pipelines for extracting and converting data. Pipelines are defined using version-controlled code, and the framework can be extended using plugins written in Python."
This really isn't very good, but it does fill in the questions that I had when I first visited https://meltano.com/
We're a seed stage startup that recently spun out of GitLab. A bit about us:
Meltano is an open source DataOps platform that brings together best-in-class open source tools and technologies for the data lifecycle, including the Singer standard for data integration, dbt for transformation, Airflow for orchestration, and soon Superset for visualization. It simplifies configuration, deployment, and monitoring, and lets data teams benefit from DevOps best practices such as version control, code review, and CI/CD.
Stack: Meltano and the Meltano SDK are written in Python. Vue.js (as part of VuePress) and Bulma CSS are used on the front end.
Open Roles:
- Backend Engineer - Senior Backend Engineer - Senior Frontend Engineer - Head of Partnerships - Content Marketing Manager - DataOps Evangelist - Senior Support Engineer - Technical Marketing Manager - Senior UI/UX Designer
Apply online at https://meltano.com/jobs. If you have questions please reach out to us on Slack: https://meltano.com/slack