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# HR Data Engineer

- **Company:** Sumeru Global Technologies Private Limited
- **Location:** San Jose, CA, United States
- **Experience:** Experienced
- **Salary:** $104,000.0 - $128,960.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Cloud Computing, Information Engineering, Data Governance, Data Infrastructure, Data Visualization, HR Analytics, Python (Programming Language), Performance Tuning, Standard Sql, Tableau (Software), Snowflake, HR Software, Data Lineage, Looker Analytics, Data Pipelines
- **Published:** July 31, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=8ce4fcb709f33897

## About the Role

* Have 3+ years in data engineering or analytics engineering with experience in people analytics, or related fields
 * You are an expert in Snowflake or other cloud tools and processes including optimization, partitioning, and performance tuning
 * Proficient in SQL, Python, and modern tools like dbt
 * Have experience with data visualization tools (Tableau, Looker)
 * Have implemented data security and privacy controls in cloud environment (Preferred not required)
 * You are comfortable working with messy or incomplete data
 * You are creative and scrappy, results-oriented with a bias towards flexibility and impact over perfection

Must Haves:

 * Expert on Snowflake with performance tuning and partitioning experience. Strong SQL & Python skill
 * dbt & Data Modeling: Proven experience building data pipelines and dimensional models using dbt.
 * 3+ Yrs Data Engineer exp: background in data or analytics engineering;Tableau, Looker, or Visier exp
 * HR/People Data Experience: Mandatory prior experience working specifically with HR or People data

Pay: $50.00 - $62.00 per hour

Application Question(s):

 * Experience working with data engineering or analytics engineering with experience in people analytics, or related fields.

*
Expert on Snowflake with performance tuning and partitioning experience. Strong SQL & Python skill?

 * Experience working with dbt & Data Modeling?

## Description

Data Infrastructure & Modeling

 * Create a scalable data foundation that supports visualization tools such as Tableau or HR analytics tools such as Visier platform, and enables strategic insights across the company.
 * Design scalable data architectures and build dimensional models that transform raw data into trusted, reusable datasets for self-serve analytics while maintaining performance
 * Model downstream tables for custom reporting and analytics
 * Partner with IT to implement data governance including documentation, lineage tracking, quality monitoring, and proactive alerting systems
 * Develop and maintain automated reporting solutions that scale with organizational growth

Partnerships:

 * Partner with stakeholders to define and scope people analytics data required needs that align with organizational goals
 * Work directly with people analytics team members/analysts to understand business challenges and translate them into scalable technical solutions
 * Advise on best practices for integrating and analyzing data from various HR systems and external sources


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