Senior Engineer, HR Data Analytics

Overview

Senior Engineer focused on HR data and analytics. Owns the end-to-end data ecosystem enabling enterprise HR analytics, AI/ML, and self-service insights.

What you'll do

• Design, scale, and optimize the core HR data warehouse architecture for enterprise BI and analytics workloads.
• Partner with Data Science, AI, and HR tech teams to prepare governed, feature-ready training datasets and pipelines.
• Define and implement privacy-aware, reusable data models with engineering best practices.
• Establish governance, quality metrics, lineage, access controls, auditability, and security compliance for analytics layers.
• Build analytics protections for PII using encryption, masking, tokenization, pseudonymization, and row/column-level security.
• Build and support dashboards, curated datasets, and self-service analytics products (e.g., Tableau).
• Mentor junior engineers on code quality, documentation, secure development, and system design.

What you'll need

• 5+ years of experience in analytics engineering, data engineering, business intelligence engineering, or a similar role.
• Expert-level proficiency with cloud data warehouses like Google BigQuery or Snowflake and advanced SQL.
• Hands-on experience with dbt, git workflows, automated testing, and orchestration tools such as Airflow, Prefect, or Dagster.
• Strong understanding of data security principles including encryption, KMS, IAM, secrets management, and key rotation.
• Experience working with PII or sensitive employee data, including masking/tokenization/pseudonymization and security controls.
• Working knowledge of CI/CD and deployment workflows plus containers such as Docker.
• Exposure to AI/ML, LLM, or chatbot-related data use cases; Python proficiency is highly preferred.

Details

• Location: Bangalore.
• Employment type: Full Time.