Data engineer

Perfil buscado (Hombre/Mujer)


The E2E Supply Chain - Data Engineer will prepare data for use by analysts, data scientists, and self-service analytics internal consumers via analytics tools by filtering, tagging, joining, parsing, and normalizing and building out E2E supply chain data lake. You will also maintain processes, standards, and policies needed to ensure high quality master and transactional data, consistent with company´s groups Digital practices and E2E supply chain strategy.
• Supply Chain Data Optimization: Utilize data preparation and modeling techniques to optimize supply chain data for self-service analytics, product development, modeling, and data discovery. This includes filtering, tagging, joining, parsing, and normalizing supply chain data.
• Data Management: Proficiently organize and enhance data to facilitate analytics, modeling, and product development. This involves establishing essential data pipelines, standardizing data from diverse sources, and generating meaningful insights.
• Machine Learning Expertise: Skillfully craft, optimize, and deploy machine learning models to drive advanced analytics and AI systems.
• Supply Chain Data Enrichment: Identify new variables and insights that can enhance curated supply chain data sets and models.
• ETL/ELT Pipeline Mastery: Expertly construct and sustain ETL/ELT pipelines, ensuring seamless data transformation and integration.
• Standardization Across the Supply Chain: Harmonize and standardize supply chain data from various sources, including structured, unstructured, and waveform data.
• Innovative Analysis: Demonstrate ingenuity by devising innovative analytical methods, aiding collaborators in interpreting results effectively.
• Collaborative Supply Chain Teamwork: Actively participate in project team meetings, providing technical expertise and insights, with a specific focus on modern software stacks in supply chain management.

• Multinational Company (Final Company)|Mixed Data Engineer in Supply Chain Area

The E2E Supply Chain - Data Engineer will have

Education and Experience:
• Bachelor´s Degree in computer science or software engineering or related field
• 3+ years of experience working in software development or as data engineer or in similar role
• 3+ years of experience with Azure DevOps, Azure Data Factory, dbt.
• Experience with cloud platforms including AWS, Azure or GCP
• Fluent English spoken and written, other languages are an asset (DE/FR/ES/PT)
• Ability to communicate effectively.
• Familiarity with digital technologies and process design.


Personal attributes:
• Collaborative and good listener
• Problem solving leader
• Curious and eager to learn from others
• Value driven and respectful

Multinational Healthcare company

Interesting professional opportunity