At Heuritech, we develop crawlers for various data sources (mainly social

media i.e Instagram, Weibo, TikTok) to gather millions of lines of data (posts,

authors, images) on a recurring basis. This data then goes through our data

pipeline, it get analyzed by our computer vision modules, these predictions

then get aggregated into time series that are used to build ongoing and

forecasted metrics in order to feed our product.

Data Engineering Team

The Data Engineering team is responsible for building, maintaining and

monitoring the data pipeline that processes millions of posts from thousands of

authors, from their crawling on social media to their analysis by computer

vision modules and their aggregation into time series that are used to build

relevant metrics and forecasts to feed out product.

The data we crawl is inserted into our data warehouse and transformed along

the way to lead to relevant metrics that can either feed our product or be

accessible through our API(s).

Your Role

As part of the Data Engineering team, your role will be to build and maintain

robust and scalable components for the data pipeline, from the gathering of

online content to their processing and transformations that lead to product

insights. This includes the following tasks:

• Develop crawlers for new data sources and integrate them into data pipelines

• Maintain the current crawling codebase

• Expand our geographical and segmented coverage

• Monitor data flows through relevant metrics

• Optimize data processing and transformations

• Develop tools usable by non-tech teams to access information regarding the crawled data

What we’re looking for?

You have several years of experience in Software Engineering, ideally at least

3-5. You are familiar with data crawling on a large scale.

You have hand on experience handling large streams of data and have a view

on how to optimize them, software and infrastructure wise.

You have experience with Cloud and Big Data solutions.

You are able to move from a prototype project to an industrialized solution. You

know how to structure test and document your code. You implement good

coding practices and thrive working as part of a team.

Required skills

• Python: proficiency in programming and library development

• Writing and implementing unit and integration tests

• Hands-on experience working with Celery task queue

• Familiar with containerization and Docker

• Knowledge of version control with Git

• Familiar with web scraping tools and libraries like Selenium, BeautifulSoup…

• Experience in working with proxies

• Experience in Linux and/or macOS environments

• Ability to write and execute bash commands and scripts

Nice-to-have skills

• Knowledge of SQL

• Familiar with web frameworks such as FastAPI, Flask, Django or other frameworks

• Experience with k8s

• Understanding of methodologies related to agile project management

• Ability to manage environment and dependencies with tools such as Poetry

• Knowledge of setting-up and using pre-commit hooks

• Experience with Kafka

• Experience with Snowflake

Soft skills

As a seasoned developer, you should be able to work in autonomy, taking ownership of projects you are responsible of and leading them to completion, with a sense of initiative to provide relevant solutions for the challenges that will arise.

As we are an international company, you must be comfortable communicating in English, both oral and written.

• First call to get to know each other and talk about the open position

• Technical test (at home, with a small project to set up)

• Meeting with the Data Engineering team to debrief the technical test and meet your future colleagues

• Meeting with the CTO