3 часа назад
Senior Data Analytics Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Analytics Engineer (AI): Shaping analytics platforms, semantic layers, and governed data models with an accent on dbt, cloud data warehouses, and AI-ready data foundations. Focus on designing reusable data products, optimizing warehouse performance, automating data quality workflows, and translating complex business needs into scalable data infrastructure.
Location: USA
Company
provides human capital management solutions through its People Cloud platform, combining HR, payroll, benefits, workforce management, talent management, analytics, and artificial intelligence.
What you will do
- Design and evolve the semantic layer and analytics data models using dbt and modern cloud data warehouses.
- Build reusable data products and AI-ready data foundations for self-service analytics and AI-assisted discovery.
- Define and enforce practices for data transformation, versioning, testing, documentation, automation, and quality monitoring.
- Own the lifecycle of metrics and definitions, ensuring consistency, trust, and reuse across the organization.
- Collaborate with analysts, product managers, data engineers, and AI stakeholders to translate business needs into scalable data infrastructure.
- Optimize warehouse performance for cost and scale while mentoring analytics engineers and analysts.
Requirements
- 7+ years of experience in analytics engineering, data engineering, or data analytics.
- Expertise in dbt and modern data transformation pipelines.
- Strong knowledge of dimensional modeling, star and snowflake schemas, slowly changing dimensions, and data vault concepts.
- Proficiency in SQL, Python, Git-based workflows, CI/CD, and software engineering practices.
- Experience with cloud data warehouses such as Databricks, Snowflake, or BigQuery.
- Ability to communicate complex data topics and translate ambiguous business requirements into structured models.
Nice to have
- Experience with Power BI, Looker, Mode, Hex, or Tableau.
- Exposure to Spark.
- Experience with experimentation, A/B testing infrastructure, and analysis.
Culture & Benefits
- Work on a connected HCM platform used by more than 200,000 employers and 9 million U.S. employees.
- Collaborate across analytics, engineering, product, and AI functions.
- Join an equal opportunity employer with an open and merit-based workplace.
- Employee experience and total rewards programs are provided through .
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