Data Engineer - HR Analytics & Workday Prism

Job Description

Role Overview:As a member of the Syngenta Group, you will support the implementation and optimization of data science initiatives and Workday Prism analytics projects within the HR organization. Your role will involve building robust data pipelines, ensuring data quality, and enabling advanced analytics capabilities to drive data-driven HR decision-making.Key Responsibilities:- Design, build, and maintain scalable data pipelines for HR analytics and reporting- Develop ETL/ELT processes to integrate data from Workday and other HR systems- Implement data transformation logic to support analytics and machine learning models- Ensure data pipeline reliability, performance, and monitoring- Configure and optimize Workday Prism Analytics for advanced HR reporting- Build data connections between Workday HCM and external data sources- Develop custom data models and calculated fields within Prism- Support report and dashboard development using Prism capabilities- Prepare and engineer features for HR data science models (predictive analytics, workforce planning)- Implement data preprocessing workflows for machine learning initiatives- Build automated data validation and quality checks for model inputs- Support model deployment and monitoring infrastructure- Implement data quality frameworks and automated validation processes- Ensure compliance with data governance policies and standards- Document data lineage and maintain data dictionaries- Support data stewardship activities and resolve data quality issuesQualifications Required:- Technical Skills: - 3 years of experience in data engineering or a similar role - Proficiency in SQL and database management (preferably with cloud platforms) - Experience with ETL/ELT tools (Informatica, Talend, or similar) - Knowledge of programming languages (Python, R, or Java) - Familiarity with cloud platforms (AWS, Azure, or GCP)- HR Systems Experience: - Workday experience (HCM, Reporting, or Prism Analytics preferred) - Understanding of HR data structures and employee lifecycle data - Experience with HRIS integrations and data flows - Knowledge of HR metrics and KPIs- Data & Analytics: - Understanding of data modeling concepts and best practices - Experience with data warehousing and dimensional modeling - Basic knowledge of machine learning workflows and model deployment - Familiarity with business intelligence tools (Tableau, Power BI, or similar)Preferred Qualifications:- Bachelors degree in Computer Science, Information Systems, or related field- Workday Prism Analytics certification or willingness to obtain- Experience with Apache Spark, Kafka, or other big data technologies- Knowledge of DevOps practices and CI/CD pipelines- Previous experience in pharmaceutical, agricultural, or regulated industriesAdditional Details:Syngenta is an Equal Opportunity Employer that values diversity and inclusivity in its workforce. The company is committed to non-discriminatory practices in all aspects of employment. Role Overview:As a member of the Syngenta Group, you will support the implementation and optimization of data science initiatives and Workday Prism analytics projects within the HR organization. Your role will involve building robust data pipelines, ensuring data quality, and enabling advanced analytics capabilities to drive data-driven HR decision-making.Key Responsibilities:- Design, build, and maintain scalable data pipelines for HR analytics and reporting- Develop ETL/ELT processes to integrate data from Workday and other HR systems- Implement data transformation logic to support analytics and machine learning models- Ensure data pipeline reliability, performance, and monitoring- Configure and optimize Workday Prism Analytics for advanced HR reporting- Build data connections between Workday HCM and external data sources- Develop custom data models and calculated fields within Prism- Support report and dashboard development using Prism capabilities- Prepare and engineer features for HR data science models (predictive analytics, workforce planning)- Implement data preprocessing workflows for machine learning initiatives- Build automated data validation and quality checks for model inputs- Support model deployment and monitoring infrastructure- Implement data quality frameworks and automated validation processes- Ensure compliance with data governance policies and standards- Document data lineage and maintain data dictionaries- Support data stewardship activities and resolve data quality issuesQualifications Required:- Technical Skills: - 3 years of experience in data engineering or a similar role - Proficiency in SQL and database management (preferably with cloud platforms) - Experience with ETL/ELT tools (Informatica, Talend, or similar) - Knowledge of programming languages (Python, R, or Java) - Familiarity with cloud platforms (AWS, Azure, or GCP)- HR Systems Experience: - Workda

Keyskills :
SQLDatabase ManagementJavaAzureGCPReportingData ModelingData WarehousingPower BIApache SparkKafkaETLELT ToolsProgramming Languages PythonCloud Platforms AWSWorkday HCMPrism AnalyticsMachine Learning WorkflowsBusiness Intelligence Tools