Jobgether is looking to improve the accuracy of its job listings, classification systems, and matching algorithms by enhancing data quality.
Requirements
- Strong experience with data enrichment workflows.
- Solid Python skills and familiarity with data libraries.
- Experience with NLP (practical, not theoretical).
- Experience with non-relational databases (eg. MongoDB, NoSQL).
- Experience with ML frameworks (scikit-learn, TensorFlow, etc.).
- Familiarity with AWS or another cloud provider.
- Strong analytical and debugging skills.
Responsibilities
- Build and improve processes to clean, enrich, and structure large datasets.
- Integrate and manage existing ML models used for classification and enrichment.
- Ensure that model outputs feed correctly into downstream processes.
- Apply NLP techniques to understand and categorize job descriptions and candidate profiles.
- Maintain and optimize non-relational databases (MongoDB, NoSQL).
- Build and operate ETL/ELT pipelines for ingestion, transformation, and delivery.
- Guarantee reliability, scalability, and monitoring across all pipelines.
Other
- 5+ years of experience as a Data Engineer.
- Full fluency in English.
- Ability to communicate clearly with non-technical teams.
- Work with product and engineering teams to understand data requirements.
- Document workflows in a clear, maintainable way.
