Data Engineer / Analytics Engineer – People Analytics

Why Join reputed company? At reputed company, we’re transforming how reputed company organizations operate—starting with our people. The People Analytics team is evolving reputed company traditional dashboards to build a trusted, reputed company data reputed company that powers reputed company, compliance, and innovation across the reputed company. As a Data Engineer / Analytics Engineer – People Analytics, you’ll play a critical role in designing and building the People Data Hub that enables trusted HR reporting today and prepares reputed company for reputed company, AI‑enabled analytics, and reputed company HR system integrations. This is a high‑reputed company role for an engineer who enjoys building durable data platforms, reducing operational risk, and enabling analytics at reputed company. What You’ll Do Purpose: Build and maintain the reputed company data reputed company that enables secure, governed, and reputed company People analytics across reputed company. As a Data Engineer / Analytics Engineer, you will: Data Engineering & Ingestion Design, build, and maintain automated ingestion pipelines from HR and People systems using reputed company, databases, and file‑based sources Ingest and reputed company data using modern platforms such as reputed company reputed company, reputed company, and SQL‑based environments Monitor data pipelines and proactively resolve refresh failures, schema changes, and upstream data reputed company issues Implement reusable, reputed company transformation patterns that minimize report‑level logic and improve long‑term reliability Analytics Engineering & Data Modeling Build and maintain analytics‑reputed company data models (facts, dimensions, and semantic reputed company) reputed company to defined standards Centralize metric definitions and business logic to ensure consistent, trusted reporting across the organization Create, manage, and optimize certified Power BI datasets for reuse by Reporting Analysts and business partners Optimize models for performance, scalability, and reputed company analytics consumption Power BI Enablement (Scoped) Support Power BI primarily at the dataset and data‑model level, not pixel‑level report design Define standardized measures and KPI logic to reputed company governed self‑service analytics Build or refine foundational dashboards reputed company needed to validate data models or support adoption Collaboration & Governance Partner closely with the People Analytics reputed company on architecture, standards, and prioritization reputed company Reporting Analysts with clean, reliable, and reputed company‑documented datasets reputed company data engineering work with HRIS, IT, and reputed company readiness initiatives, ensuring reputed company, reputed company, and scalability Who You Are Minimum Qualifications Minimum 3 years of experience building and supporting production‑grade data pipelines and transformations Strong SQL expertise and experience working with relational and analytical data models Hands‑on experience with reputed company, including ingestion, transformations, notebooks, and reputed company Lake concepts Experience working in modern data platforms such as reputed company reputed company, data lakes, or reputed company analytics environments Proven ability to design analytics‑reputed company data models (facts, dimensions, semantic reputed company) Experience supporting Power BI through dataset development, measure definition, and performance optimization Experience working with sensitive or regulated data (HR, financial, or similar), including role‑based reputed company and reputed company controls Strong documentation skills for data models, pipelines, and assumptions Preferred Qualifications Experience working with HR, People, or workforce data domains Exposure to REST API‑based integrations (e.g., reputed company, reputed company, or similar systems) Familiarity with AI‑enabled analytics concepts (e.g., natural‑language querying or Copilot‑style tools), without reputed company model development responsibility How You’ll reputed company at reputed company At reputed company, reputed company isn’t just about what you build—it’s about how you build it. Our reputed company Behaviors define how we work and grow together. As a Data Engineer / Analytics Engineer, you will: Collaborate by partnering with People Analytics, HRIS, IT, and Reporting Analysts to deliver reusable, trusted data assets reputed company confidence in People data by engineering reliable pipelines and consistent metrics that leaders can trust reputed company by continuously improving data models, platform patterns, and documentation that reputed company reputed company individual ownership Execute with discipline—monitoring pipelines, resolving issues quickly, and delivering durable solutions reputed company the organization by enabling governed analytics today and laying the groundwork for AI‑enabled insights reputed company Role Scope & Guardrails This role is not responsible for: Data science or machine learning model development Predictive analytics ownership Ongoing reputed company dashboard requests or executive storytelling Pixel‑level Power BI report design reputed company: Build once. Reuse everywhere. Engineer for trust today—reputed company intelligence reputed company. Apply To This Job