Job Title: Sr. Data Engineer - HR Data & Analytics
Location: Boston Hybrid (4 days from office)
Duration: 12 Months
RM notes: Snowflake HRIS SQL Python.
Key Responsibilities
- Translate business needs into data modeling strategies and implement Snowflake data models to support HR analytics KPIs and reporting.
- Design build and maintain Snowflake objects including tables views and stored procedures.
- Develop and execute SQL or Python transformations data mappings cleansing validation and conversion processes.
- Establish and enforce data governance standards to ensure consistency quality and completeness of data assets.
- Manage technical metadata and documentation for data warehousing and migration efforts.
- Optimize performance of data transformation pipelines and monitor integration performance.
- Design configure and optimize integrations between Workday and third-party applications.
- Participate in system testing including unit integration and regression phases.
- Support data analysis needs throughout the implementation lifecycle.
Required Experience & Skills
- Experience with Snowflake or similar data warehouse platforms
- Strong SQL skills and experience with data transformation tools
- Experience with ETL processes and data validation techniques
- Understanding of HR data structures and relationships
- Excellent analytical and problem-solving abilities
- Experience with developing with Python
- Architecting a data warehousing solution leveraging data from Workday or other HRIS such as Workday to support advanced reporting and insights for an organization
Preferred Experience & Skills
- Experience in developing and supporting a data warehouse serving the HR domain
- Experience with data platforms where SCD Type 2 was required
- Experience with data visualization tools such as Tableau
- Experience with architecting or working with ELT technologies (such as DBT) and data architectures
- Understanding of HR processes compliance requirements and industry best practices
Job Title: Sr. Data Engineer - HR Data & Analytics Location: Boston Hybrid (4 days from office) Duration: 12 Months RM notes: Snowflake HRIS SQL Python. Key Responsibilities Translate business needs into data modeling strategies and implement Snowflake data models to support HR ana...
Job Title: Sr. Data Engineer - HR Data & Analytics
Location: Boston Hybrid (4 days from office)
Duration: 12 Months
RM notes: Snowflake HRIS SQL Python.
Key Responsibilities
- Translate business needs into data modeling strategies and implement Snowflake data models to support HR analytics KPIs and reporting.
- Design build and maintain Snowflake objects including tables views and stored procedures.
- Develop and execute SQL or Python transformations data mappings cleansing validation and conversion processes.
- Establish and enforce data governance standards to ensure consistency quality and completeness of data assets.
- Manage technical metadata and documentation for data warehousing and migration efforts.
- Optimize performance of data transformation pipelines and monitor integration performance.
- Design configure and optimize integrations between Workday and third-party applications.
- Participate in system testing including unit integration and regression phases.
- Support data analysis needs throughout the implementation lifecycle.
Required Experience & Skills
- Experience with Snowflake or similar data warehouse platforms
- Strong SQL skills and experience with data transformation tools
- Experience with ETL processes and data validation techniques
- Understanding of HR data structures and relationships
- Excellent analytical and problem-solving abilities
- Experience with developing with Python
- Architecting a data warehousing solution leveraging data from Workday or other HRIS such as Workday to support advanced reporting and insights for an organization
Preferred Experience & Skills
- Experience in developing and supporting a data warehouse serving the HR domain
- Experience with data platforms where SCD Type 2 was required
- Experience with data visualization tools such as Tableau
- Experience with architecting or working with ELT technologies (such as DBT) and data architectures
- Understanding of HR processes compliance requirements and industry best practices
View more
View less