Publié il y a 3 jours
Senior Data Engineer
@ Coforge
Canada
En bref
Coforge is hiring a contract Senior Data Engineer in Vancouver, BC, to build scalable, governed data pipelines with Databricks and Unity Catalog. The work centres on FX trading and post-trade data for financial and credit union operations. The role is remote, with a PST time zone working schedule.
Responsabilités :
- Build scalable, governed data pipelines
- Support real-time and historical FX analysis
- Deliver self-serve FX data assets to trading, risk and finance
- Accelerate AI and analytics use cases with data infrastructure
Résumé des exigences :
- Bachelor's degree in computer science or data engineering
- 3-5 years data engineering experience, capital markets preferred
- Advanced SQL and Spark, Databricks or Azure Data Factory
- Experience with Power BI or Tableau
- Understanding of Unity Catalog or Microsoft Purview
Outils et compétences
Source et dates
Type de source non vérifié · apify-linkedin
- Date publiée par l’employeur
- 2026-11-10
- Première détection par notre source
- 2026-11-14
- Mise à jour du dossier source
- 2026-11-14
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 | 3 an(s) et plus |
| Déplacements | avion : aucun · route : aucun |
| Milieu de travail | Domicile |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Formation | Baccalauréat (exigé) |
| 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.
Coforge
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.
Description complète de l’entreprise
Where AI engineering meets industry expertise. Coforge is an AI-native engineering services leader, where AI is the very foundation of how we design, build, and deliver intelligent solutions for our clients. We use AI and hyperspecialized industry expertise to engineer autonomous enterprises. We combine AI agents with our AI-enabled workforce, including specialized FDEs in hybrid pod-based delivery units. With a deep focus on trusted AI, our solutions are secure, governed, and enterprise-grade. We are outcome-led by design. Moving beyond AI experimentation, we deliver measurable business outcomes – lower operating costs, faster cycle times, higher conversion rates, and sustained margin growth. With an execution intensity that’s uniquely our own, Coforge has emerged as the 7th largest Indian IT services firm, with a revenue growth rate nearly 8x the industry average. “We are somewhat atypical in our approach to solving business problems. We are specialists, not just engineers and technologists, who spend an inordinate amount of time understanding the targeted functional spaces that we focus on.” — Sudhir Singh, CEO Coforge is a certified Great Place to Work® (6 years in a row), recognized for excellence in Employee Engagement, Learning & Development, and Corporate Social Responsibility. Our Greater Noida HQ runs entirely on 100% green energy. Through initiatives like The Coforge Public Library, we provide free, inclusive access to knowledge in Noida, Hyderabad, and Gurugram—and intend to expand this network across India. Coforge has been recognized by leading analysts and advisory firms, including Gartner, Forrester, ISG, Everest Group, HFS Research, and others.
- Abonnés LinkedIn
- 1 719 139
- Personnes associées sur LinkedIn
- 44 078
- Bureaux déclarés
- Noida Expressway, Noida, Uttar Pradesh 201304, IN
- 502 Carnegie Center Dr, Princeton, New Jersey 08540, US
- EC3R 7QQ, London, GB
- NSW – 2000, Sydney, NSW, AU
- Autres noms enregistrés
- Coforge
- Spécialités
- Travel and Transportation
- Insurance
- Healthcare
- Public Sector
- Digital Services
- Cloud and Infrastructure Management Services
- Artificial Intelligence
- Machine Learning
- Data & Analytics
- Data Science
- ServiceNow
- Product Engineering
- Agentic AI
- High Tech
- Healthcare and Life Sciences
- Banking & Financial Services
- Enterprise
- Platforms
- and Digital Experience
- Le profil indique une agence de recrutement
- Non
Where AI engineering meets industry expertise. Coforge is an AI-native engineering services leader, where AI is the very foundation of how we design, build, and deliver intelligent solutions for our clients. We use AI and hyperspecialized industry expertise to engineer autonomous enterprises. We combine AI agents with our AI-enabled workforce, including specialized FDEs in hybrid pod-based delivery units. With a…
| Champ | Valeur |
|---|---|
| Secteur | IT Services and IT Consulting |
| Taille | 10,001+ employees |
| Siège social | Noida, Uttar Pradesh |
| Type d’organisation | Public Company |
| Spécialités | Travel and TransportationInsuranceHealthcarePublic SectorDigital ServicesCloud and Infrastructure Management ServicesArtificial IntelligenceMachine LearningData & AnalyticsData Science |
| Offres sur Jobsy | 11 |
| Voir la page |
Role: Data Engineer
Location: Vancouver, BC
Workplace type: Remote
Employment Type: Contract
Working hours: PST Time zone
We at Coforge are hiring a Data Engineer with proven expertise in Databricks and Unity Catalog.
Core Competencies
Strong problem-solving and system design skills with the ability to build scalable, maintainable data solutions.
Effective communicator with the ability to collaborate across technical and business teams, translating data architecture into practical use cases.
Solid business acumen and understanding of financial or credit union operations, particularly FX trading workflows and post-trade processing.
Demonstrated ability to thrive in a fast-paced, regulated, data-driven environment.
Ability to collaborate in cross-functional teams and thrive in a data-driven culture.
Outcomes
Faster insight generation and decision-making across business units.
Improved adoption of governed, self-serve analytics capabilities.
Scalable and governed data pipelines that enable real-time and historical FX analysis.
Accelerated delivery of AI and analytics use cases through high-quality data infrastructure.
Increased adoption of trusted, self-serve FX data assets across trading, risk, and finance teams.
Education & Experience
Bachelor’s degree in computer science, Data Engineering, or related technical field.
3–5 years of experience in data engineering or data platform development, preferably within capital markets or financial services.
Technical Skills
Advanced proficiency in SQL and data pipeline development using tools such as Apache Spark, Databricks, or Azure Data Factory.
Experience with visualization tools such as Power BI or Tableau.
Familiarity with cloud data platforms (e.g., Databricks, Azure Synapse, or Snowflake).
Understanding of data governance concepts and tools (e.g., Microsoft Purview, Unity Catalog).
Looking forward to receiving your profile, for more details, please reach out to [email protected]
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