Job Description

Job Summary

Job Summary : Data Engineering: • Design, build, test, and maintain ETL/ELT pipelines using PySpark, SQL, and Python within the Databricks ecosystem. • Implement data quality frameworks and pipeline monitoring. • Support migration of legacy SQL Server workloads to cloud-native architecture Data Visualization: • Applies a of variety visualization techniques and designs the content and appearance of data visuals. • Operationalizes and automates activities for efficient and timely production of data visuals. • Selects appropriate visualization approach from a range of applicable options. • Contributes to exploration and experimentation in data visualization. • Designs and develops Power BI dashboards and reports aligned to DNA standards. • Automates refresh processes and ensures consistency with Gold-layer semantic models. Data Science: • Develop, train, and deploy ML models with proper experiment tracking (MLflow), feature engineering, and model monitoring. • Support forecasting, segmentation, and predictive analytics initiatives. Programming/software development • Designs, codes, verifies, tests, documents, amends, and refactors simple programs/scripts. • Applies agreed standards and tools, to achieve a well-engineered result. Reviews own work. Key Relationships: • Global DNA • Respective business function (GOPS, Finance, HR, Brand Marketing, Wholesale/Retail) • BI • Bilingual: Spanish (Native), English (+70%)

Key Responsibilities

Job Responsibilities : Data Engineering: • Design, build, test, and maintain ETL/ELT pipelines using PySpark, SQL, and Python within the Databricks ecosystem. • Implement data quality frameworks and pipeline monitoring. • Support migration of legacy SQL Server workloads to cloud-native architecture Data Visualization: • Applies a of variety visualization techniques and designs the content and appearance of data visuals. • Operationalizes and automates activities for efficient and timely production of data visuals. • Selects appropriate visualization approach from a range of applicable options. • Contributes to exploration and experimentation in data visualization. • Designs and develops Power BI dashboards and reports aligned to DNA standards. • Automates refresh processes and ensures consistency with Gold-layer semantic models. Data Science: • Develop, train, and deploy ML models with proper experiment tracking (MLflow), feature engineering, and model monitoring. • Support forecasting, segmentation, and predictive analytics initiatives. Programming/software development • Designs, codes, verifies, tests, documents, amends, and refactors simple programs/scripts. • Applies agreed standards and tools, to achieve a well-engineered result. Reviews own work. Key Relationships: • Global DNA • Respective business function (GOPS, Finance, HR, Brand Marketing, Wholesale/Retail) • BI • Bilingual: Spanish (Native), English (+70%)

Skill Requirements

Job Responsibilities : Data Engineering: • Design, build, test, and maintain ETL/ELT pipelines using PySpark, SQL, and Python within the Databricks ecosystem. • Implement data quality frameworks and pipeline monitoring. • Support migration of legacy SQL Server workloads to cloud-native architecture Data Visualization: • Applies a of variety visualization techniques and designs the content and appearance of data visuals. • Operationalizes and automates activities for efficient and timely production of data visuals. • Selects appropriate visualization approach from a range of applicable options. • Contributes to exploration and experimentation in data visualization. • Designs and develops Power BI dashboards and reports aligned to DNA standards. • Automates refresh processes and ensures consistency with Gold-layer semantic models. Data Science: • Develop, train, and deploy ML models with proper experiment tracking (MLflow), feature engineering, and model monitoring. • Support forecasting, segmentation, and predictive analytics initiatives. Programming/software development • Designs, codes, verifies, tests, documents, amends, and refactors simple programs/scripts. • Applies agreed standards and tools, to achieve a well-engineered result. Reviews own work. Key Relationships: • Global DNA • Respective business function (GOPS, Finance, HR, Brand Marketing, Wholesale/Retail) • BI • Bilingual: Spanish (Native), English (+70%)

Other Requirements

Job Responsibilities : Data Engineering: • Design, build, test, and maintain ETL/ELT pipelines using PySpark, SQL, and Python within the Databricks ecosystem. • Implement data quality frameworks and pipeline monitoring. • Support migration of legacy SQL Server workloads to cloud-native architecture Data Visualization: • Applies a of variety visualization techniques and designs the content and appearance of data visuals. • Operationalizes and automates activities for efficient and timely production of data visuals. • Selects appropriate visualization approach from a range of applicable options. • Contributes to exploration and experimentation in data visualization. • Designs and develops Power BI dashboards and reports aligned to DNA standards. • Automates refresh processes and ensures consistency with Gold-layer semantic models. Data Science: • Develop, train, and deploy ML models with proper experiment tracking (MLflow), feature engineering, and model monitoring. • Support forecasting, segmentation, and predictive analytics initiatives. Programming/software development • Designs, codes, verifies, tests, documents, amends, and refactors simple programs/scripts. • Applies agreed standards and tools, to achieve a well-engineered result. Reviews own work. Key Relationships: • Global DNA • Respective business function (GOPS, Finance, HR, Brand Marketing, Wholesale/Retail) • BI • Bilingual: Spanish (Native), English (+70%) 1. Itil Foundation Certification (Optional But Valuable).

1. Relevant Asset Management Certifications (Optional But Valuable)