Senior Data Engineer

Data EngineeringHybrid Remote, Boston, Massachusetts


Description

Position at Ness Digital Engineering

Role: Sr. Data Engineer - HR Data & Analytics
Location: Boston – Hybrid (4 days from office)
 
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