Senior Data Engineer

🕒 il y a 15 jours

Postuler Maintenant

Trouver des Emplois à Distance Similaires

Configurer une alerte email pour les nouveaux emplois

📊 Vérifiez votre score de CV pour ce poste

Améliorez vos chances d'obtenir un entretien en vérifiant votre score de CV avant de postuler.

Télécharger le CV

Risepoint

Site WebLinkedInTous les Emplois

1001 - 5000 employés

Fondée en 2007

💼 Conseil

📣 Marketing

📚 Éducation

Consulting • Marketing • Education

Risepoint est une entreprise de technologie éducative qui collabore avec des universités publiques et privées régionales pour concevoir, lancer et développer des programmes de diplômes en ligne axés sur le marché du travail. Elle fournit des services de marketing, de support étudiant, de support facultaire, de mise en œuvre technologique, de suivi des performances et de recherche sur le retour sur investissement des étudiants pour aider les institutions à élargir l'accès, augmenter les inscriptions et offrir des programmes à fort rendement pour les adultes actifs.

Description

• Design, build, and own scalable data pipelines and dimensional models on Databricks (PySpark, SQL, medallion architecture) — delivering trusted, on-time data products and meeting SLAs within your assigned scope. • Ingest data from operational and SaaS sources such as Salesforce into the lakehouse, favoring managed connectors like Lakeflow Connect where appropriate. • Build and maintain Kimball-style dimensional models — facts, conformed dimensions, and slowly changing dimensions — as the analytics layer of record. • Develop, test, and document transformations in dbt (models, sources, snapshots, tests, exposures) with strong CI discipline. • Manage data assets in Unity Catalog, including catalogs, schemas, permissions, and lineage. • Optimize performance and cost through cluster and warehouse sizing, Spark tuning, partitioning, and tagging for cost attribution. • Operationalize machine learning workflows using MLflow for experiment tracking, model registry, and deployment, applying MLOps best practices. • Help coordinating day-to-day work with offshore vendor engineering resources — setting priorities, sequencing deliverables, and keeping their work aligned to sprint commitments and the platform roadmap. • Translate business and technical requirements into clear specifications, acceptance criteria, and design guidance that offshore teams can execute with minimal ambiguity. • Quality-check offshore deliverables through code review, testing, and validation against data standards, performance targets, and definition-of-done before changes are promoted to production. • Collaborates with data architects, analysts, and business stakeholders to keep data accurate and well-governed, building alignment within the team and with immediate cross-functional partners on delivery. • Uphold engineering standards, code review practices, and documentation conventions across both onshore and offshore contributors. • Support the team's growth by training and coaching engineers on tools, standards, and best practices as the platform scales.

🎯 Exigences

• 7+ years in data engineering on big data and cloud platforms, including 3+ years hands-on with Databricks (Spark/PySpark, Delta Lake, jobs). • Proven delivery of Kimball / dimensional data models in a modern warehouse or lakehouse, with strong SQL and Python (PySpark). • Production experience with dbt (models, tests, snapshots) and with Unity Catalog for governance, access control, and lineage. • Working knowledge of the ML lifecycle and MLOps, including MLflow for experiment tracking, model registry, and deployment. • Experience translating business and technical requirements into clear specifications and coordinating or overseeing offshore and vendor engineering resources, including reviewing their deliverables for quality. • Strong communication and stakeholder skills, with a track record of mentoring engineers and setting technical standards.

🏖️ Avantages

• Risepoint is an equal-opportunity employer and supports a diverse and inclusive workforce.