Senior Data Engineer

il y a 4 semaines


Paris, Île-de-France Datasite Temps plein
Job Description:

The ideal candidate for this role is a software engineer with a strong focus on Python programming and scalability.

Key Responsibilities:

Design and implement Python pipelines for semantic processing (NLP) and data augmentation, including vectorisation (embeddings) to/from MongoDB/Pinecone, Named Entity Recognition (NER) to/from MongoDB, and Elasticsearch indexing.

Develop Python transformation pipelines for derived data around companies, computing insightful data points from raw company data and maintaining a Python framework for data point computation.

Contribute to the technical growth of the team, especially junior teammates, and collaborate with the Tech Lead on task breakdown and phasing.

Opportunities:

Implement cloud-based data acquisition/ETL pipelines using Airflow, DBT, and Snowflake, and expand web scraping capabilities using Pub/Sub, GCS, and CloudRun.

Career Path:

As the tech organisation grows, the successful candidate can move into a Tech Lead role.

Required Skills:

5+ years of experience developing scalable industry-ready software applications in Python, 3+ years of experience implementing data processing pipelines/ETLs, and 2+ years of experience working with advanced MongoDB and SQL + Elasticsearch.

A solid understanding of computing scalability, including multiprocessing/threading and distributed computing, as well as some hands-on experience with common/modern data frameworks, such as GCP, DBT, and Snowflake.

Outstanding problem-solving skills for performance optimisation.

Company Culture:

Datasite values diversity and is committed to maintaining a diverse workforce to serve customers around the world. We are an equal opportunity employer (EEO) and further the principles of EEO through Affirmative Action.


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