Ml Engineer

**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.

**About Data Engineer in Nestlé**:
At Nestlé we are seeking a Data Engineer, passioned about data, with proven track in delivery the higher business value.

**Position Snapshot**
**Location**:Ciudad de México

**Stream**:Analytics Science Line

**Type of Contract**: Permanent

**Main Purpose**:
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.

**A day in the life of...**

Design and Implement ETL/ELT pipelines

Work with senior business stakeholders to understand the business requirements and translate them to data processing and data modelling requirements

Ability to monitors and troubleshoot Data Pipelines in different layers (from source to target)

Orchestrating internal and external functional stakeholders to define, validate and refine product vision, strategy, definitions and roadmaps and be fully responsible of the usage and utilization of the analytical products delivered to them.

**What Will Make You Successful?**

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 (Star Schema and Relational models)

3 + years integration experience with Relational Databases, Microsoft Azure Data Factory and Databricks

Experience in Python language is a distinct advantage.

Experience in ML/Ops is a distinct advantage.

Desirable experience with API based data acquisition and management.

Desirable knowledge in building architecture

Experience in Azure DevOps

At least 3-4 years of experience Analytics tools, Data Visualization and User Experience Design preferably in technologies including Microsoft Power BI

Understanding concepts of Master Data Management/Data Governance

3 + year 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.)

Outstanding interpersonal skills, both verbal and written

Strong organizational, time management and multi-tasking skills

**Join us