Data Architect

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Innowhyte Inc

Site WebLinkedInTous les Emplois

11 - 50 employés

💼 Conseil

🏥 Santé

📣 Marketing

Consulting • Healthcare • Marketing

Innowhyte Inc est un cabinet de conseil en innovation axé sur l'entreprise et un fournisseur de services d'IA qui allie données et intelligence avec le design thinking pour créer des solutions à l'échelle de l'entreprise. L'entreprise met l'accent sur l'innovation orientée par les modèles et un cadre a7i pour modéliser des schémas d'innovation reproductibles, accélérer le temps de mise sur le marché et exploiter les opportunités dans les zones non exploitées "white space" à travers les domaines d'activité. Innowhyte collabore avec des organisations pour identifier les problèmes pertinents, transformer les connaissances en solutions concrètes et consolider les conceptions pour un impact durable à grande échelle.

Description

• Design, develop, and maintain robust and scalable data pipelines to support analytics and machine learning applications. • Collaborate with cross-functional teams, including data scientists and software engineers, to implement data-driven solutions. • Optimize and manage data storage systems and ensure high availability, reliability, and performance. • Design, develop, and maintain robust and scalable ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) data pipelines to support analytics and machine learning applications. • Ensure data pipelines are optimized for efficiency, reliability, and scalability, handling both structured and unstructured data seamlessly. • Handle large-scale datasets, ensuring data integrity and consistency across platforms. • Provide technical expertise and mentorship to junior engineers and stakeholders. • Implement best practices in data engineering, including version control, testing, and deployment. • Stay updated with emerging technologies and tools in data engineering, AI/ML, and cloud ecosystems.

🎯 Exigences

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. • Minimum 5+ years of hands-on experience in data engineering or related roles. • Proficiency in Python programming and its data-processing libraries (e.g., Pandas, PySpark). • Proven expertise in handling large-scale data systems such as distributed databases, data warehouses, and data lakes. • Strong experience with cloud platforms (AWS, Azure, or GCP) and associated tools for data storage, processing, and orchestration. • Practical knowledge of data pipeline frameworks like Apache Airflow, Kafka, or Spark. • Hands-on technical expertise in designing and implementing end-to-end data solutions. • Familiarity with Generative AI (GenAI) and AI/ML technologies.

🏖️ Avantages

• Enjoy the flexibility to work from the comfort of your home, with no commute hassles. • Work directly with the CXO team, gaining valuable insights and contributing to strategic decisions. • Take the opportunity to initiate, own, and drive impactful data engineering projects across the organization. • Become a key member of the engineering leadership team, driving innovation and excellence within the data domain. • Work with state-of-the-art technologies in AI, ML, and data engineering. • Competitive compensation and ample opportunities for career growth.