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- [Contribution squad] Senior Software Data Engineer

Castordoc

Snowflake (AZ)

Remote

USD 80,000 - 120,000

Full time

30+ days ago

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Job summary

Join a forward-thinking company that believes in making data accessible and easy to use. As a Senior Software Data Engineer, you'll be part of a dynamic team dedicated to creating innovative solutions that empower organizations to leverage their data effectively. Your role will involve building and maintaining connectors to various data warehouses, optimizing data processing pipelines, and collaborating with talented engineers. This role not only offers competitive compensation and equity but also a flexible, remote-friendly work environment that fosters growth and teamwork. If you're passionate about data and eager to make an impact, this opportunity is perfect for you.

Benefits

Competitive compensation packages
Equity
Flexible work environment
Remote-friendly work

Qualifications

  • 2+ years of experience as a Software Data Engineer.
  • Fluent in French and passionate about building user-friendly products.

Responsibilities

  • Develop and maintain API connectors for data retrieval and transformation.
  • Monitor data pipelines and optimize processing for scalability.

Skills

API Development
Data Transformation
SQL
Data Pipeline Monitoring
Code Optimization
Collaboration

Education

Bachelor's Degree in Computer Science or related field

Tools

Python
PostgreSQL
Airflow
Google Cloud Platform (GCP)
Docker

Job description

[Contribution squad] Senior Software Data Engineer
Who we are

At CastorDoc we believe that people do not need to be data experts to find, understand and use data. We’ve developed a product that is plug-and-play, fun to use, and collaborative. It automates painful data governance tasks to create a centralized knowledge hub that empowers teams to easily discover, interpret, and leverage their organization's information assets.

Created in 2020, by four data lovers who experienced firsthand the pain of dealing with data, CastorDoc is already running in leading data teams at Doctolib, Deliveroo, Veolia, Vestiaire Collective, ManoMano, Freeport McMoran, Veolia or Payfit.

Our team of almost 40 people is made of experts in their domains, sharing a common bold vision to impact companies through data. To support it, we raised a 23m€ Series A from Frst, Blossom, and accomplished Business Angels (founders of Dataiku, Zenly, Vestiaire Collective, etc).

We are seeking a skilled Software Data Engineer to join our growing Contribution Squad, working alongside talented fullstack and data engineers.

You will be responsible for building and maintaining connectors to external APIs, primarily in the data ecosystem. These APIs include:

  • Data warehouses (BigQuery, Redshift, Snowflake, etc.)

Our connectors feed Castor's backend on a daily basis and are orchestrated using Airflow. Your main responsibilities will include:

  • Developing and maintaining API connectors to retrieve, transform, clean, and enrich data.
  • Improve the coverage of our SQL query parser to build the data lineage graph.
  • Monitoring data pipelines, identifying failures, and applying fixes when necessary.
  • Optimizing data processing pipelines in terms of memory usage and execution time to ensure scalability, especially for clients with large metadata volumes.
  • Improving code maintainability and reusability, ensuring consistency across different data pipelines.
  • Collaborating with DevOps to maintain the infrastructure, manage dependencies, and integrate new tools.

Our stack runs on Python, PostgresSQL, Airflow, GCP and Docker.

Together, we’re shaping the future of intelligent, user-friendly solutions.

You would be a good fit at Castor if you are:

  • A skillful and humble engineer willing to grow within a team
  • Passionate about building products customers love
  • Enthusiastic about teamwork, willing to receive and provide honest feedback
  • Fluent in French
  • Have 2+ years of experience as a Software Data Engineer

We offer employees a stimulating environment to focus on their work through:

  • Competitive compensation packages, along with equity
  • Flexible and remote-friendly work environment
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