- Microsoft Azure
- Azure Data Factory
- Azure Data Lake
We are seeking a highly skilled and motivated Data Scientist to join our Data and Analytics team. This position will develop, implement, and optimize advanced analytics solutions that support data-driven decision-making across the organization.
Key Responsibilities
Data Science, Analysis, and Modeling
- Develop, implement, and optimize statistical models and machine learning algorithms to solve complex business problems
- Perform exploratory data analysis (EDA) to identify patterns, trends, relationships, and opportunities within large datasets
- Conduct feature engineering, data preprocessing, transformation, and validation to prepare datasets for modeling and analysis
- Evaluate model performance and improve analytical solutions based on business and technical requirements
- Translate analytical results into actionable business recommendations
Data Engineering and ETL
- Design, build, maintain, and optimize scalable data pipelines and ETL/ELT processes using Databricks
- Integrate structured and unstructured data from multiple sources
- Support data transformation, cleansing, validation, and processing workflows
- Monitor and improve data quality, accuracy, consistency, and integrity
- Collaborate with data engineers to develop reliable and scalable data solutions
- Work with big data technologies and distributed processing frameworks such as Apache Spark
Azure Cloud and Data Platform
- Utilize Microsoft Azure services to support data ingestion, storage, transformation, processing, and analytics
- Work with Azure Data Factory (ADF) to develop and maintain data integration and orchestration workflows
- Work with Azure Data Lake for scalable cloud-based data storage and analytics
- Develop cloud-based data and analytics solutions following performance, scalability, and data governance best practices
Snowflake Data Warehouse
- Develop, manage, and optimize data warehouses and data marts in Snowflake
- Wri
📌 Data Scientist (Centro)
🏢 Meztal
📍 Centro