Pour les employeurs
DATA ENGINEER, SOFTWARE DEVELOPMENT


Iress
il y a 8 heures
Date de publication
il y a 8 heures
S/O
Niveau d'expérience
S/O
Temps pleinType de contrat
Temps plein
See yourself being part of a large, transformational change? This could be the role for you!

Role

QuantHouse has developed a suite of Market Data Products including

Reference Data, EOD pricing data, Historical Market Data, Cross-Reference

services and Analytics. You will be joining the agile R&D team that is in

charge of the functional and technical design, the implementation and the

maintenance of the Market Data Products suite. Technical environment:

Python, Shells Unix, SQL / NoSQL.

What you will be doing

In this role you will design, build, maintain, and support QuantHouse's

Market Data Products suite:

• Ingesting Data from different file formats and various APIs

• Technical design and implementation of cross-linking logic to enrich

content, based on 3rd party data sources

• Design and implementation of data quality and monitoring

mechanisms to assure high-level service quality and availability

• Contributing to the improvement of internal tools, reports and alerts

• Implementation, optimisation and maintenance of data processing

logic using various Python libraries

• Improving scalability, resiliency and observability

• Improving performance trough code optimisation and parallelisation

(Python Multiprocessing and Multithreading)

• Provide Level 2 Support

• Collaboration with the Production team to help monitor the Market

Data Products status in production and generate reports

• Working with our Product team to specify and develop new features

What you will need to be successful in this role

• Solid experience (5+ years) in ETL design and implementation

• A proven track-record in Python (not scripting but implementing

production code), knowledge and experience with Python Multiprocessing and Multithreading

• Experience with relational and NoSQL Data Bases.

• Knowledge in building Observability platforms (OTel, Prometheus,

Grafana, Loki, Alloy)

• Exposure to the following technologies is a plus: Apache Airflow,

Elasticsearch, Docker, GitLab CI/CD, Buildkite, Artifactory

• Proactive and self-motivated, attention to detail, ability to work

autonomously

• Team player with good collaboration and problem-solving skills

• Good English proficiency (working in an international environment)

Employment Type
Employee

Time Type
Full time
Balises associées
-
RÉSUMÉ DE L' OFFRE
DATA ENGINEER, SOFTWARE DEVELOPMENT
Iress
Paris
il y a 8 heures
S/O
Temps plein

DATA ENGINEER, SOFTWARE DEVELOPMENT