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
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.
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
ShyftLabs a 19 offres ouvertes au Canada en date du 9 novembre 2026. Principaux lieux : Toronto et Calgary.
Candidates need hands-on experience building dashboards in Tableau or Looker, strong SQL skills in Google BigQuery, and working knowledge of Python for analysis and automation. Strong communication and stakeholder skills are also required.
4+ ansCandidates need 4 to 7 years of analytics or data science experience, strong SQL, Google BigQuery and Python skills, and experience with Tableau or Looker. Advertising measurement knowledge such as attribution and ROAS is highly desirable.
Candidates need to be enrolled in or recently graduated from a design or digital media program, with a portfolio. They need working knowledge of Figma, Adobe Creative Suite or Canva and a strong eye for layout and typography.
Candidates need to be enrolled in or recently graduated from a business-related program. Strong presentation, writing, analytical and research skills are needed, along with self-motivation in a fast-paced setting.
Candidates need a high school diploma, experience as a receptionist or office administrator, and strong Google Workspace skills. Excellent English communication, attention to detail and discretion with confidential information are also required.
Google Workspace, Gmail, Google Calendar, Google Drive, Google Docs, Google Sheets
4+ ansShyftLabs needs candidates with 4 to 6 years of IT or cybersecurity experience, at least 3 in network or infrastructure security. Strong networking knowledge, hands-on firewall experience, server hardening skills, and scripting ability are required, plus clear communication with clients.
8+ ansCandidates need 8+ years in data engineering or architecture, with hands-on Azure Databricks, Delta Lake, Unity Catalog, SQL, Python/PySpark, Airflow and dbt experience. Client-facing consulting experience and strong communication skills are also required.
4+ ansCandidates need 4 to 8 years in product management, data and analytics, or business analysis, with experience delivering enterprise data or AI products. Strong client-facing, facilitation and stakeholder management skills are required, plus familiarity with generative AI or human-in-the-loop workflows.
Data analysis, Requirements gathering, Leadership, Documentation, Decision making, Reporting
8+ ansCandidates need 8+ years in software or AI engineering and 2+ years building generative AI applications. They must have hands-on experience with agents, RAG, Python and frameworks such as LangChain or LangGraph, plus strong communication skills.
8+ ans3+ gestionCandidates need 8+ years of backend development experience, including 3+ years in technical leadership or architecture. They need deep experience with distributed and event-driven systems, Kafka, ClickHouse, Snowflake, relational databases, and scaling on AWS or GCP.
2+ ansCandidates need 2-5 years of professional software development experience and proficiency in a modern language such as Python, TypeScript/JavaScript, Java or Go. Experience with modern frontend frameworks, cloud platforms, databases, Git, CI/CD and AI development tools is expected.
5+ ansCandidates need 5+ years of hands-on DevOps experience, including leading or mentoring engineers. They must have practical production experience with AWS EKS, GitLab CI/CD and Terraform, plus AWS services, Bash or Python scripting, and containers.
AWS EKS, GitLab CI/CD, Terraform, AWS Lambda, API Gateway, CloudWatch
5+ ansCandidates need 5+ years building production data pipelines, advanced SQL and data modelling on Snowflake or BigQuery, and Python. Strong ELT experience with Snowflake (Snowpipe, Streams and Tasks, dbt) is also required.
5+ ansCandidates need 5+ years of production software experience, a Bachelor's degree in Computer Science or a related field, and strong JavaScript, TypeScript, Node.js and GraphQL skills. Experience with REST APIs, cloud platforms and event-driven architectures is also required.
5+ ansCandidates need 5+ years building production software and 2+ years deploying AI/ML models, plus a Bachelor's degree in a related field. Strong Python, backend, API, cloud, and MLOps skills are required.
3+ ansShyftLabs needs 3 to 5 or more years of product, data or analytics experience, advanced SQL, and client-facing skills. Candidates should know cloud data platforms such as Snowflake or BigQuery, data governance, semantic layers and Agile.
5+ ansCandidates need 5+ years of data engineering experience, a STEM degree, and strong SQL and Python skills. Experience with cloud platforms, ETL orchestration (Databricks, Airflow), dimensional modeling and Git in Agile teams is also required, along with good business communication skills.
Google BigQuery, GCP Dataflow, Pub/Sub, Cloud Composer, Databricks, Airflow
Candidates need a related bachelor's degree and internship, co-op or project experience in software or AI/ML. Python skills, backend concepts such as APIs and databases, and an interest in LLMs and AI tools are required.
Candidates need a current or recent degree in computer science, AI, data science or software engineering, strong Python skills and an LLM-powered or agentic project. Familiarity with RAG, embeddings, tool calling and APIs is also expected.