Data Engineer

3 weeks ago


Québec, Canada Frank Recruitment Group Full time

Lieu: Centre-ville de Montreal (Metro McGill)
Organisation de travail: Hybrid (3 jours au bureau /2 jours en télétravail)
Langue: Français/Anglais requis (bilingue)

Que ferez-vous ?

Développer des flux de données en fonction des exigences en exécutant les étapes nécessaires de transformation des données, de validation des données et de cartographie à l'aide de SQL et Python.
Développer les composants nécessaires pour établir une connexion avec diverses sources de données et destinations via des API, SQL, Snowflake, S3 et tout autre protocole de communication.
Maintenir et appliquer des modifications sur les flux existants fonctionnant sur différents outils ETL.
Effectuer des tests et une validation approfondis pour garantir l'exactitude des transformations de données, la vérification des données et la livraison.
Développer des tests unitaires et de régression.
Préparer des plans de version et coordonner avec les parties prenantes et les ingénieurs de version pour assurer l'exécution appropriée.
Fournir un support après-implémentation et résoudre les problèmes potentiels.
Fournir un support de 2e et 3e niveau aux équipes opérationnelles et résoudre les problèmes en temps opportun.
Préparer la documentation des flux de données existants et nouveaux ainsi que des procédures des clients.

Qualifications

Baccalauréat en informatique ou dans un domaine technique connexe ou expérience équivalente.
3 à 5 ans d'expérience commerciale dans les outils ETL.
L'expérience avec des langages de programmation tels que Python sera considérée comme un avantage.
Expérience dans les contrôles de processus liés aux données.
Expérience avec Snowflake.
Expérience de travail avec une équipe de développeurs utilisant des méthodologies agiles pour atteindre les livrables de processus planifiés.
Haut niveau de précision et d'attention aux détails.
Démontrer un engagement à fournir un service de qualité axé sur le client.
Excellentes compétences en communication verbale et écrite en français et en anglais.
Bonnes compétences en travail d'équipe et en collaboration.

Informations supplémentaires
Horaire de travail : Lundi au vendredi;
Poste temps plein, permanent.

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Location: Downtown Montreal (McGill Metro)
Work location: Hybrid (3 days on site/ 2 day remote)
Language: French/ English required (bilingual)

What will you do?

Develop data flows based on the requirements by executing the necessary steps of data transformation, data validation and mapping using SQL and Python.
Develop necessary components to establish connection with various sources of data and destinations via API, SQL, Snowflake, S3 and any other communication protocol.
Maintain and apply changes on existing flows running on different ETL tools.
Perform thorough testing and validation to support the accuracy of data transformations, data verification and delivery.
Develop unitest and regression tests.
Prepare release plans and coordinate with the stakeholders and release engineers to ensure the proper execution.
Provide post-implementation support and troubleshoot any potential issues.
Provide 2nd and 3rd level support to operation teams and resolve issues in a timely manner.
Prepare documentation of existing and new data flows as well as clients’ procedures.

Qualifications

Bachelor’s degree in Computer Science or a related technical field or equivalent experience.
3 - 5 years of commercial experience ETL tools.
Experience with programming languages such as Python will be considered as advantage.
Experience in data-related process controls.
Experience with Snowflake.
Experience working with a team of developers using agile methodologies to achieve planned process deliverables.
High level of accuracy and attention to detail.
Demonstrate commitment to providing customer-focused quality service.
Excellent verbal and written communication in French & English.
Good teamwork and collaboration skills.

Additional Information

Work Schedule: Monday to Friday;
Full-time, permanent position.



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