Publié avant-hier
Senior Data Engineer
@ Luxoft
Toronto, Ontario
En bref
Luxoft is hiring a Senior Data Engineer as a subcontractor to onboard, integrate and operationalize datasets for Middle Office functions. The role builds production-grade AWS data pipelines (EMR, Glue, Athena, S3) with Spark/PySpark, Apache Hudi or Iceberg, Airflow and Terraform, owning work from source analysis through production support.
Responsabilités :
- Onboard new datasets and design ingestion pipelines for Middle Office
- Build production pipelines on AWS with Spark/PySpark
- Build and manage Airflow orchestration workflows
- Design data models, partitioning and data quality controls
- Implement CI/CD and Terraform infrastructure automation
Résumé des exigences :
- Hands-on experience with AWS data platforms and pipelines
- Advanced Apache Spark and PySpark expertise
- Experience with Apache Hudi and Apache Iceberg
- Strong Python and Git-based development practices
- Experience with Apache Airflow or comparable tools
- Experience with Terraform and CI/CD pipelines
Outils et compétences
Source et dates
Type de source non vérifié · apify-linkedin
- Date publiée par l’employeur
- 2026-11-08
- Première détection par notre source
- 2026-11-10
- Mise à jour du dossier source
- 2026-11-10
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Développement logiciel |
| Heures par semaine | 40 (estimé) |
| Déplacements | avion : aucun · route : aucun |
| Milieu de travail | Bureau, Domicile |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Luxoft
| Champ | Valeur |
|---|---|
| Offres sur Jobsy | 1 |
Project Description:
We are looking for an experienced Senior Data Engineer to support the onboarding, integration, and operationalization of datasets used by Middle Office functions.
The role focuses on building scalable, production-grade data pipelines and data products on AWS, enabling reliable data delivery for analytics, reporting, and downstream applications. The successful candidate will own the full lifecycle from source analysis and solution design through implementation, deployment, and operational support.
The role is for subcontractors.
Responsibilities:
- Data Onboarding & Integration: Analyze source systems, onboard new datasets, and design scalable ingestion and transformation pipelines to support Middle Office business needs.
- Data Engineering: Develop and maintain production-grade pipelines using AWS services including EMR, Glue, Athena, and S3, leveraging Spark/PySpark and modern data lake technologies.
- Workflow Automation: Build and manage orchestration workflows using Airflow or equivalent platforms, including scheduling, monitoring, alerting, and recovery processes.
- Data Architecture & Modeling: Design scalable data models, schema structures, partitioning strategies, and data quality controls to ensure reliable and efficient data consumption.
- DevOps & Operational Excellence: Implement CI/CD pipelines and infrastructure-as-code practices using Terraform and GitHub Actions, ensuring maintainable and supportable solutions.
- Production Support: Troubleshoot data quality, performance, and operational issues while driving long-term reliability improvements.
Mandatory Skills Description:
- Strong hands-on experience building and operating AWS-based data platforms and data pipelines.
- Advanced expertise with Apache Spark, PySpark, distributed data processing, and performance optimization.
- Experience with modern data lake technologies, particularly Apache Hudi and Apache Iceberg.
- Strong Python programming and software engineering practices, including testing, code quality, and Git-based development workflows.
- Hands-on experience with Apache Airflow or comparable workflow orchestration platforms.
- Experience with Terraform, CI/CD pipelines, and infrastructure automation.
- Ability to independently translate business requirements into production-ready data solutions.
Nice-to-Have Skills Description:
We are particularly interested in candidates who have experience building data platforms within financial services, asset management, capital markets, or investment management environments. Experience supporting Middle Office, investment operations, risk, or trading-related datasets is highly desirable. Knowledge of data governance, lineage, security, and large-scale production support is also a strong advantage.
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