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Databricks Machine Learning Engineer
hace 3 semanas
**Job Description**:
**Are You Ready to Make It Happen at Mondelēz International?**
**Join our Mission to Lead the Future of Snacking. Make It With Pride.**
You will provide technical contributions to the data science process. In this role, you are the internally recognized expert in data, building infrastructure and data pipelines/retrieval mechanisms to support our data needs
**How you will contribute**
You will:
- Operationalize and automate activities for efficiency and timely production of data visuals
- Assist in providing accessibility, retrievability, security and protection of data in an ethical manner
- Search for ways to get new data sources and assess their accuracy
- Build and maintain the transports/data pipelines and retrieve applicable data sets for specific use cases
- Understand data and metadata to support consistency of information retrieval, combination, analysis, pattern recognition and interpretation
- Validate information from multiple sources.
- Assess issues that might prevent the organization from making maximum use of its information assets
**What you will bring**
A desire to drive your future and accelerate your career and the following experience and knowledge:
- Extensive experience in data engineering in a large, complex business with multiple systems such as SAP, internal and external data, etc. and experience setting up, testing and maintaining new systems
- Experience of a wide variety of languages and tools (e.g. script languages) to retrieve, merge and combine data
- Ability to simplify complex problems and communicate to a broad audience
**More about this role**
**What you will bring**
A desire to drive your future and accelerate your career and the following experience and knowledge:
- Deep understanding of **Databricks or Apache Spark **, running Python on Apache Spark through **PySpark **, MLOps practice through **MLFlow**:
- Expertise in ETL activities, data movements across environments, data maintenance, and data management
- To promote cross-team collaboration: Sharing and enforcing ‘good practices’ in code standardization, maintenance, data creation
- Problem resolution mindset: A natural inclination toward solving technology problems such as code debugging, users access issue resolution, root cause analysis of system outage
- Support Forecasting Solution Implementation for market for demand modelling in DataBricks & Spark and Model Forecast Improvement activity.
- Broad understanding of the challenges a data scientist faces to run analytical machine learning jobs and
- Owns responsibility of assigning and deploying clusters to ensure optimal run time of forecasting models
**No Relocation support available**:
**Business Unit Summary**:
**Mondelez México has been in the country since 1927 and currently employs 6,000 wonderful people. Our diverse portfolio includes iconic and mouth-watering global brands such as **_Trident _**, **_Oreo _**, **_Philadelphia _**, and local jewels like **_Clorets _**and **_Bubbaloo _**. We are leaders in the making of cream cheese, powdered beverages and confections—in fact, we make seven out of every 10 chewing gums consumed by Mexicans. Our growth is supported by our cutting-edge manufacturing facilities, such as our Puebla Plant and Nuevo León HUB, which are the largest gums, candies and biscuits factories in the world in terms of volume. You can buy are products in 900,000 places in Mexico. We are also home to one of the 11 technology centers Mondelez International has worldwide, a specialized gum and candy facility that places us at the forefront of innovation and development in the country and drives our purpose to lead the future of snacking. We are pioneers in the country in work-life balance practices such as extended maternity leave, open spaces, remote work and flexible working hours.**:
Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
**Job Type**:
Regular
Data Science
Analytics & Data Science
