Publié il y a 3 mois
Data Engineer
@ Kumaran Systems
Toronto, Ontario
En bref
Kumaran Systems is hiring a full-time Data Engineer to build and run Azure data platforms. The work covers ETL/ELT pipelines in Azure Data Factory, PySpark transformations in Azure Databricks, and migrations from on-premises systems to Azure.
Responsabilités :
- Build and maintain ETL/ELT pipelines in Azure Data Factory
- Develop PySpark and SQL transformations in Azure Databricks
- Lead on-premises to Azure data platform migrations
- Optimize Azure SQL data models and queries
- Monitor and troubleshoot pipelines and Azure resources
Résumé des exigences :
- Hands-on experience with Azure Data Factory
- Proven expertise in Azure Databricks, PySpark and SQL
- Experience deploying Azure App Service and Azure Functions
- Solid on-premises-to-Azure migration experience
- Advanced SQL and Azure SQL performance tuning skills
Outils et compétences
Source et dates
Type de source non vérifié · zoho
- Date publiée par l’employeur
- 2026-07-30
- Première détection par notre source
- 2026-10-27
- Mise à jour du dossier source
- 2026-10-27
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Domaine | Développement logiciel |
| Heures par semaine | 40 (estimé) |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Kumaran Systems
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 organizations in re-imagining their core operations through modern solutions.
Description complète de l’entreprise
Kumaran Systems: Engineering Future-Ready Transformations Since 1992, Kumaran Systems has been helping enterprises bridge the past and the future — reimagining legacy systems and embracing AI-led possibilities. With over 34 years of delivery excellence, we specialise in re-engineering core applications, driving cloud transformation, and building automation-first, GenAI-enabled ecosystems across the Banking and Financial Services, Insurance, Telecom, and Automotive sectors. We help organisations not just upgrade their systems but reimagine what’s possible. What Sets Kumaran Apart Client-First, Long-Term Focus: Many of our client relationships span over 20 years — built on trust, transparency, and shared outcomes. AI-Led Automation: We design intelligent, low-touch workflows that enhance productivity, accuracy, and digital self-reliance. Legacy Modernisation at Scale: Thousands of successful migrations executed with speed, precision, and minimal disruption. Cloud-Ready Transformation: Deep expertise in re-platforming and re-architecting for scalable, cloud-native performance. Enterprise QA Solutions: Our proprietary platforms — KTAC (Codeless Test Automation) and DQV (Data Quality Validation) — accelerate testing cycles and reduce production defects. Vertical Depth, Domain Insight: Solutions grounded in decades of experience tackling complex, industry-specific challenges and compliance requirements. Why Kumaran? We blend engineering discipline with AI innovation — helping clients modernise with confidence, automate with clarity, and scale with purpose. Our global delivery model ensures agility, responsiveness, and seamless collaboration — with clients always at the heart of every engagement. At Kumaran, we don’t just solve problems — we engineer future-ready transformations.
- Abonnés LinkedIn
- 156 535
- Personnes associées sur LinkedIn
- 1 487
- Bureaux déclarés
- SIPCOT IT Park, Plot No.28/A-41, III Main Road, 6th Cross, Chennai, Tamilnadu 603 103, IN
- 703 Evans Avenue, Suite 605, Toronto, Ontario M9C 5E9, CA
- 101 Jefferson Drive, Suite 237, Menlo Park, California 94025, US
- Plot No. 118, Road No. 3, EPIP Phase-I, Ground floor, Neil Rao Towers, Bangalore, Karnataka 560066, IN
- 8th Floor (Level 9), “ALTIUS C” Block, Olympia Technology Park, SIDCO Industrial Estate, Guindy, Chennai, Tamil Nadu 600032, IN
- Dubai Silicon Oasis, Dubai Digital Park Building A1, Dubai, Dubai, AE
- Mahaveer Gateway, Madhava Reddy Colony, Makthakousarali, Gachibowli, Hyderabad, Telangana 500032, IN
- Catégories d’activité
- Information Technology
- Computer Hardware Development
- Autres noms enregistrés
- Kumaran Systems
- Spécialités
- Application Development and Maintenance
- Testing
- Banking
- Telecom and Mobility
- Insurance
- Retail
- Oracle Migrations
- Mainframe Migration
- Artificial Intelligence
- Application Migration
- Application Modernization
- Digital transformation
- Data & Analytics Services
- AI Consulting
- AI Solutions
- and Product Development
- 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.
Kumaran Systems: Engineering Future-Ready Transformations Since 1992, Kumaran Systems has been helping enterprises bridge the past and the future — reimagining legacy systems and embracing AI-led possibilities. With over 34 years of delivery excellence, we specialise in re-engineering core applications, driving cloud transformation, and building automation-first, GenAI-enabled ecosystems across the Banking and…
| Champ | Valeur |
|---|---|
| Secteur | IT Services and IT Consulting |
| Taille | 1,001-5,000 employees |
| Siège social | Chennai, Tamilnadu |
| Type d’organisation | Privately Held |
| Fondée en | 1992 |
| Spécialités | Application Development and MaintenanceTestingBankingTelecom and MobilityInsuranceRetailOracle MigrationsMainframe MigrationArtificial IntelligenceApplication Migration |
| Offres sur Jobsy | 18 |
| Voir la page |
Job Summary:
Key Responsibilities
Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory (ADF).
Build and optimize complex data transformation logic using Azure Databricks (PySpark and SQL).
Lead and execute on-premises to Azure cloud migrations for data platforms, ETL workflows, and applications.
Develop, deploy, and support applications using Azure App Service and Azure Functions.
Design data models and perform query optimization and performance tuning using Azure SQL.
Implement and manage data storage solutions using Azure Data Lake Storage Gen2 (ADLS Gen2) and Delta Lake.
Apply robust data orchestration, scheduling, and error-handling patterns to ensure reliable data processing.
Leverage core Azure services such as VNets, Storage Accounts, Key Vault, and IAM to build secure and scalable cloud solutions.
Monitor, troubleshoot, and optimize data pipelines and Azure resources using appropriate monitoring tools.
Required Skills & Qualifications
Strong hands-on experience with Azure Data Factory (ADF).
Proven expertise in Azure Databricks, including PySpark and SQL-based data transformations.
Hands-on experience in developing and deploying solutions using Azure App Service and Azure Functions.
Solid experience in on-premises-to-Azure migration projects, particularly for data platforms.
Advanced SQL skills, including data modeling, query optimization, and performance tuning in Azure SQL.
Working knowledge of Delta Lake, ADLS Gen2, and modern data lake architectures.
Good understanding of core Azure services and cloud security best practices.
Experience with monitoring and troubleshooting using Azure Monitor and Application Insights.
Journal
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