Publié il y a 7 mois
Data Engineer
@ ShyftLabs
Toronto, Ontario
En bref
ShyftLabs is hiring a Data Engineer to design, build and optimize big data pipelines on the Databricks platform. The work centres on Apache Spark, SQL, Python and cloud data architecture, with 5+ years of experience required. The role is full-time, hybrid with 3 office days per week in downtown Toronto, and open to Calgary-area candidates; salary is $100,000 to $140,000.
Responsabilités :
- Design, implement and optimize big data pipelines in Databricks
- Develop scalable ETL workflows for large datasets
- Implement data governance, security and compliance standards
- Optimize data lakehouse architectures for performance and cost
- Monitor and troubleshoot clusters, jobs and bottlenecks
Résumé des exigences :
- Bachelor's or Master's degree in Computer Science, Data Engineering or related field
- 5+ years hands-on experience with Databricks and Apache Spark
- Proficiency in SQL, Python or Scala
- Experience with AWS, Azure or GCP for data engineering
- Knowledge of ETL frameworks, data lakes and Delta Lake
Outils et compétences
Avantages mentionnés
Source et dates
Site carrière / système de candidatures · lever
- Date publiée par l’employeur
- 2026-04-01
- 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
| Niveau | Senior |
| Domaine | Données et analytique |
| Expérience | 5 an(s) et plus |
| Heures par semaine | 40 (estimé) |
| Déplacements | avion : aucun · route : aucun |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Formation | Baccalauréat (exigé), Maîtrise (préféré) |
| Domaines d’études | Computer Science, Data Engineering |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
ShyftLabs
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.
Empowering enterprises to operate at the speed of insight!
Description complète de l’entreprise
ShyftLabs builds AI first platforms that turn real time data into real time decisions so enterprises can increase revenue, reduce friction, and operate with continuous intelligence
- Abonnés LinkedIn
- 13 386
- Personnes associées sur LinkedIn
- 204
- Bureaux déclarés
- 100 Yonge St, 1501, Toronto, Ontario M5C 2W1, CA
- Hyderabad, IN
- Noida, IN
- New York, New York, US
- Catégories d’activité
- Data Governance
- Data Integration
- Consulting
- Cloud Data Services
- Autres noms enregistrés
- Simfluent
- ShyftLabs
- Spécialités
- AI
- Data Analytics
- Data Engineering
- DataTransformation
- Data Centralization
- Enterprise Data Strategy
- Business Consulting
- Automation
- Customer Analytics
- Retail Analytics
- Software Development
- Information Technology
- Software Solutions
- AdTech
- and Retail
- 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.
ShyftLabs builds AI first platforms that turn real time data into real time decisions so enterprises can increase revenue, reduce friction, and operate with continuous intelligence
| Champ | Valeur |
|---|---|
| Secteur | Business Consulting and Services |
| Taille | 201-500 employees |
| Siège social | Toronto, Ontario |
| Type d’organisation | Privately Held |
| Fondée en | 2018 |
| Spécialités | AIData AnalyticsData EngineeringDataTransformationData CentralizationEnterprise Data StrategyBusiness ConsultingAutomationCustomer AnalyticsRetail Analytics |
| Offres sur Jobsy | 23 |
| Voir la page |
About ShyftLabs
At ShyftLabs, we live and breathe data. Since 2020, we’ve been helping Fortune 500 companies unlock growth with cutting-edge digital solutions that transform industries and create measurable business impact. We’re growing fast and we’re looking for passionate problem-solvers who are ready to turn big ideas into real outcomes.
The Opportunity
ShyftLabs is seeking a skilled Data Engineer to support in designing, developing, and optimizing big data solutions using the Databricks Unified Analytics Platform. This role requires strong expertise in Apache Spark, SQL, Python, and cloud platforms (AWS/Azure/GCP). The ideal candidate will collaborate with cross-functional teams to drive data-driven insights and ensure scalable, high-performance data architectures.
What You'll Be Doing
Develop scalable ETL workflows to process large datasets.
Leverage Apache Spark for distributed data processing and real-time analytics.
Implement data governance, security policies, and compliance standards.
Optimize data lakehouse architectures for performance and cost-efficiency.
Collaborate with data scientists, analysts, and engineers to enable advanced AI/ML workflows.
Monitor and troubleshoot Databricks clusters, jobs, and performance bottlenecks.
Automate workflows using CI/CD pipelines and infrastructure-as-code practices.
Ensure data integrity, quality, and reliability in all pipelines.
Design, implement, and optimize big data pipelines in Databricks.
What You Bring
5+ years of hands-on experience with Databricks and Apache Spark.
Proficiency in SQL, Python, or Scala for data processing and analysis.
Experience with cloud platforms (AWS, Azure, or GCP) for data engineering.
Strong knowledge of ETL frameworks, data lakes, and Delta Lake architecture.
Experience with CI/CD tools and DevOps best practices.
Familiarity with data security, compliance, and governance best practices.
Strong problem-solving and analytical skills with an ability to work in a fast-paced environment.
Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
Nice to Have
Hands-on experience with MLflow, Feature Store, or Databricks SQL.
Exposure to Kubernetes, Docker, and Terraform.
Experience with streaming data architectures (Kafka, Kinesis, etc.).
Strong understanding of business intelligence and reporting tools (Power BI, Tableau, Looker).
Prior experience working with retail, e-commerce, or ad-tech data platforms.
Databricks certifications (e.g., Databricks Certified Data Engineer, Spark Developer).
Salary Range
- $100,000 - $140,000
Why You’ll Love Working at ShyftLabs
Hybrid Flexibility: 3 days per week in our downtown Toronto office. This role is also open to candidates based out of the Calgary area.
Comprehensive Benefits: 100% coverage for health, dental, and vision insurance for you and your dependents from day one.
Growth & Learning: Continuous learning opportunities and influence over technical direction.
Inclusion at ShyftLabs
We’re building something big, and we want you on the journey with us. If you’re ready to use data and innovation to make an impact, apply today and let’s grow together.
ShyftLabs is an equal-opportunity employer committed to creating a safe, diverse, and inclusive environment. We encourage applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, and nationality to apply. If you require accommodation during the interview process, let us know and we’ll be happy to support you.
Journal
Visible seulement par vous. Conservé sur cet appareil, et dans votre compte une fois connecté.