**About IT in Nestlé**
We are a team of IT professionals from many countries and diverse backgrounds, each with unique missions and challenges in the biggest health, nutrition and wellness company of the world. We innovate every day through forward-looking technologies to create opportunities for Nestlé’s digital challenges with our consumers, customers and at the workplace. We collaborate with our business partners around the world to deliver standardized, integrated technology products and services to create tangible business value.
S/he will collaborate within IT Analytics, Data & Integration team from basic statistics and patterns to dependencies and custom business rules, designed to give a complete picture of data lineage analysis that will help track data origins to data destiny.
**Position Snapshot**
**Location**:Nestlé México
**Stream**: Analytics Data & Integration
**Type of Contract**: Permanent
**Functional Group**: (I)
**Key Responsibilities**:
- Design and Implement ETL/ELT pipelines
- Work with business stakeholders to understand the business requirements and translate them to data processing and data modelling requirements
**Required Profile**:
- Bachelor’s Degree in Computer Science, Information Management, Engineering, Mathematics or related major
- 3 + years of prior MS Sql Server Data Warehouse experience required
- Oral and written English communication skills
- Prior dimensional data modeling
- Knowledge of integration experience with MS SSIS, SAP BO
- Experience in python offer a distinct advantage.
- Desirable experience with API based data acquisition and management
- Experience in Devops
- At least 2-3 years of experience Analytics tools, Data Visualization and User Experience Design preferably in technologies including Microsoft Power BI and SAP Business Objects Business Intelligence suite (Design Studio, Web Intelligence, Dashboards).
- Snowflake
- Understanding Master Data Management/Data Governance
- Familiarity with ‘Modern Data Warehouse’ architecture using cloud based storage solutions and data orchestration in Microsoft Azure (e.g. Blob storage, Azure Databricks, Azure Data Factory, etc.)
- Strong organizational, time management and multi-tasking skills