03 ago
|
Capgemini
|
Aguascalientes
03 ago
Capgemini
Aguascalientes
Analytics Engineer
Your Role
As an Analytics Engineer, you will bridge the gap between data, technology, and business outcomes. You will design, develop, and optimize data-driven solutions using modern cloud platforms and machine learning technologies.
You will work closely with cross-functional teams and subject matter experts to understand complex technical domains and translate business requirements into scalable, high-quality analytical solutions. Your role will include developing and enhancing machine learning models, ensuring data quality, and delivering impactful insights that drive decision-making.
You will also contribute to continuous improvement through best practices in version control, quality assurance, and performance optimization, while working in agile environments.
Your Profile
- Python programming (Strong coding background, including ML model updates)
- Cloud platforms (Google Cloud Platform)
- High-level machine learning knowledge
- Machine Learning model integration and upgrading
- Version Control (Git for collaborative development)
- SQL querying
- Pandas and NumPy
- Quality Assurance knowledge
- Translating business requirements to actionable technical steps
- Collaborating closely with subject matter experts (SMEs) to gain a deep understanding of the technical and operational domain
- Ability to work independently
- Data visualization with Bokeh
Good-to-Have Skills
- Data Modeling & ETL Processes
- Agile / SCRUM Methodology (Experience delivering projects in Agile)
- Oilfield Domain Knowledge (Terminology and business practices)
- Dataiku
- Performance Optimization & Monitoring (Profiling, scaling strategies)
- Signal processing knowledge
- Engineering background
Trainable Skills (COE Enablement)
- CI/CD Pipelines & DevOps Tooling
- Prognostics & Health Management Techniques (domain-specific analytics)
5. What you’ll love – Growth and Learning at Every Step
- Access continuous learning through internal academies, certifications, and m
📌 Analytics Engineer (Aguascalientes)
🏢 Capgemini
📍 Aguascalientes