Data Engineer
Found in: Appcast CA C2 Glassdoor - 1 week ago
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.
--
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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