DATA ENGINEER, SOFTWARE DEVELOPMENT
Iress
il y a 11 heures
Date de publicationil y a 11 heures
S/O
Niveau d'expérienceS/O
Temps pleinType de contrat
Temps pleinDonnées / Big dataCatégorie d'emploi
Données / Big dataSee 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
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
RÉSUMÉ DE L' OFFRE
DATA ENGINEER, SOFTWARE DEVELOPMENT
Iress
Paris
il y a 11 heures
S/O
Temps plein
DATA ENGINEER, SOFTWARE DEVELOPMENT