Data Engineer HR Analytics & Workday Prism
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Job Location:
Monthly Salary:
Posted on:
6 hours ago
Vacancies:
1 Vacancy
Job Summary
Position Summary
Support the implementation and optimization of data science initiatives and Workday Prism analytics projects within Syngentas HR organization. Build robust data pipelines ensure data quality and enable advanced analytics capabilities to drive data-driven HR decision making.
Key Responsibilities
Data Pipeline Development
- 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
Workday Prism Implementation
- 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
Data Science Project Support
- 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
Data Quality & Governance
- 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 issues
Qualifications :
Required Qualifications
Technical Skills
- 3 years experience in data engineering or 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 industries
Soft Skills
- Strong problem-solving and analytical thinking abilities
- Excellent communication skills for technical and business stakeholders
- Collaborative mindset for working with cross-functional teams
- Detail-oriented with focus on data accuracy and quality
- Ability to work in agile development environments
Additional Information :
Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment hiring training promotion or any other employment practices for reasons of race color religion gender national origin age sexual orientation gender identity marital or veteran status disability or any other legally protected status
Work :
No
Employment Type :
Full-time
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
To help feed 10 billion people while reducing emissions and improve biodiversity. This is our mission as the global agriculture technology leader. With 59,000 employees in more than 100 countries and hundreds of thousands of agricultural partners worldwide, we are committed to transfo ... View more
