Principal/Senior Analytics Engineer

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Job Description

This is a great opportunity for engineers who are passionate about dbt, care deeply about data quality and usability, and are excited about contributing to a mission- driven HR- tech product.
Join our innovative team as an Analytics Engineer and help shape the future of our integrated HR data platform. You’ll play a key role in building robust data transformation pipelines and curated data models that drive self- service analytics and AI initiatives across the organization. As a core member of our data team, you’ll collaborate with product managers, data engineers, and business stakeholders to design and implement a scalable, trusted analytics foundation—particularly in the HR domain.

HR Data Understanding: Deeply understand HR- related data such as employee records, payroll, attendance, etc., and convert business requirements into actionable datasets.
Pipeline Ownership: Build and maintain reliable ELT pipelines in close collaboration with data engineers, ensuring smooth, automated, and testable data flows.
Data Quality Assurance: Implement and maintain automated data testing, monitoring, and validation to ensure consistent and trusted data delivery.
Data Modeling & dbt Development: Design and implement high- quality, scalable, and well- documented data models using dbt, aligning with business goals and analytics use cases.
Cross- functional Collaboration
Collaborate with engineers to ensure smooth integration between data systems and product features.
Partner with product managers and business analysts to translate requirements into well- modeled datasets.
Scalability & Maintenance: Continuously optimize model performance and transformation logic for large- scale HR datasets.
Documentation & Enablement: Produce clear documentation to support internal engineers and business users in using the data models confidently.

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Requirements

Technical Skills
Must Have:

Proven expertise with dbt for building and managing data transformations in production environments.
Familiarity with data testing, CI/CD, and data version control best practices (e.g., using Git).
Ability to translate business requirements into robust, scalable, and reusable data models.
Solid understanding of dimensional data modeling (e.g., star/snowflake schema).
3+ years of experience in analytics engineering, data engineering, or BI roles.
Advanced SQL skills with experience optimizing queries and building layered data models.
Experience working with cloud data warehouses (e.g., Amazon Redshift, BigQuery, or Snowflake).

Nice to Have:

Hands- on experience with Python for automation or data- related scripting tasks.
Experience working in a multi- tenant SaaS environment.
Experience working with HR domain data (e.g., organization structures, payroll, leave management).
Knowledge of BI tools like Looker, Tableau, or Redash.
Experience using Terraform or similar IaC tools.
Familiarity with Airflow, Cloud Composer, or other orchestration tools.

Communication

Strong interpersonal and communication skills with experience working in cross- functional teams.
High level of ownership and accountability.
Business- level English proficiency (reading and writing required; conversational ability is a plus).
Enthusiastic about mentoring and supporting the growth of other engineers.

Skill Tags
Analytics Engineering, dbt, SQL, Data Modeling, Redshift, HR Tech, ELT Pipelines, Python, Data Quality

Caring Mental & Physical Recreation:

Club activities
Premium Health insurance from probation
Paternity leave extra 5 days
Social insurance on full salary from probation
Hybrid working
Annual health check
16 days off annually + 1 Birthday Leave
Full salary in probation & 13th month salary
Annual company trip; Quarterly team building activities
Flexible start 8AM- 9AM from Mon- Fri

Caring Career & Development:

Performance review twice/year
Clear Career path
Monthly and biannually Recognition Awards
Foreign language & International technology- related certifications sponsoring
Soft skill workshops
Tech seminars
Well- equipped facility: Macbook pro, additional monitor,..

Cập nhật gần nhất lúc: 2025-07-26 05:05:03