Publié il y a 22 mois
Data Engineer
@ Ample Insight Inc.
Toronto, Ontario
En bref
Ample Insight Inc. is hiring a full-time data engineer to build and scale data pipelines and tools that support data scientists. The work involves architecting ETL workflows and schemas, tuning performance, and working with user engagement, marketing and finance data. The posting highlights very competitive compensation and autonomy on projects.
Responsabilités :
- Build high quality data tools and pipelines
- Architect ETL workflows and schemas
- Tune performance of ETL jobs, SQL and databases
- Support data scientists with reliable data
Résumé des exigences :
- Degree in computer science, engineering, math or statistics
- Hands-on experience with user engagement, social, marketing or finance data
- Proficient in Python and data science libraries
- Extensive relational database and SQL experience
- Working knowledge of Snowflake
Outils et compétences
Source et dates
Site carrière / système de candidatures · smartrecruiters
- Date publiée par l’employeur
- 2025-01-27
- Première détection par notre source
- 2026-10-08
- Mise à jour du dossier source
- 2026-10-09
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Domaine | TI |
| Heures par semaine | 40 (estimé) |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Formation | Baccalauréat (exigé) |
| Domaines d’études | Computer Science, Engineering, Mathematics, Statistics |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Ample Insight Inc.
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
We build trusted AI and data solutions.
Description complète de l’entreprise
We are a team of world-class data scientists and software engineers who have helped top companies like Facebook, Google, Uber, Amazon, Microsoft and others solve some of their most difficult engineering problems. Have a quick question or need an experienced consulting advisor for a complex project that has 'been there and done that'? We have you covered. Contact us today!
- Abonnés LinkedIn
- 26 437
- Personnes associées sur LinkedIn
- 14
- Bureaux déclarés
- 720 King St W, Suite 908, Toronto, Ontario M5V 3S5, CA
- Catégories d’activité
- Analytics
- Artificial Intelligence (AI)
- Machine Learning
- Autres noms enregistrés
- Ample Insight Inc.
- Ample Insight
- Spécialités
- Data Science
- Machine Learning
- AI
- Analytics
- Computer Vision
- Software Engineering
- MVP
- Data Engineering
- Data Infrastructure
- Data Governance
- Generative AI
- LLM
- and ChatGPT
- Le profil indique une agence de recrutement
- Non
- Investissement total déclaré
- 0
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
We are a team of world-class data scientists and software engineers who have helped top companies like Facebook, Google, Uber, Amazon, Microsoft and others solve some of their most difficult engineering problems. Have a quick question or need an experienced consulting advisor for a complex project that has 'been there and done that'? We have you covered. Contact us today!
| Champ | Valeur |
|---|---|
| Secteur | Data Infrastructure and Analytics |
| Taille | 11-50 employees |
| Siège social | Toronto, Ontario |
| Type d’organisation | Privately Held |
| Fondée en | 2018 |
| Spécialités | Data ScienceMachine LearningAIAnalyticsComputer VisionSoftware EngineeringMVPData EngineeringData InfrastructureData Governance |
| Offres sur Jobsy | 8 |
| Voir la page |
Company Description
You will join a world-class team of engineers and data scientists from Facebook, Uber, Amazon and Google. We are a fast growing consulting firm based in Toronto with clients ranging from leading startups building impactful technologies to Fortune 500 companies looking to scale their engineering and data capabilities.
Job Description
We are looking for a data engineer who is passionate about analytics and helping companies build and scale data. You enjoy working with data and are motivated to produce high quality data tools and pipelines that help empower other data scientists. You are experienced in architecting data ETL workflows and schemas. Critical thinking and problem-solving skills are essential for this role.
Qualifications
- BS (or higher, e.g., MS, or PhD) in Computer Science, Engineering, Math, or Statistics
- Hands on experience working with user engagement, social, marketing, and/or finance data
- Proficient in Python (i.e. Pandas, Numpy, scikit-learn, etc), R, TensorFlow, amongst other data science related tools and libraries
- Extensive experience working on relational databases, designing complex data schemas, and writing SQL queries
- Deep knowledge on performance tuning of ETL Jobs, SQL, and databases
- Working knowledge of Snowflake
- Experience working with Airflow is a strong plus
- Devops experiences is a plus
Additional Information
We have very competitive compensation.
Work on cool projects based on your interests and skills. We believe in accountability and NOT micro-management.
Journal
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