Data Engineer - Employee Success
Salesforce
🔍 Observed
67
Hiring Activity Score
Likely Active (65-79)
- Base score
- Posted 16 days ago
- has location, quality description (6257 chars)
- 6 skills
- High confidence (90%)
- Direct ATS (workday)
India - Hyderabad
First seen 2 weeks, 2 days ago
Last seen 4 hours, 49 minutes ago
Workday
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Try Direct Link (may be expired)Job Description
AI Summary
• Develop and maintain ETL/ELT data pipelines using Apache Airflow and Python while supporting data modeling in Snowflake and Salesforce Data360 environments
• Required experience includes 5+ years in related roles with proficiency in Python, SQL, Airflow, and cloud platforms (AWS/Snowflake); experience with Neo4j and Cypher is a plus
• Support data quality assurance, CI/CD workflows with Git, API development, and documentation of data lineage across Employee Success analytics and AI-driven initiatives
• Work collaboratively with senior engineers and business partners to translate functional requirements into technical data solutions in a fast-paced, AI-focused environment
• Join Salesforce's Employee Success Product Management team during a period of workforce transformation, with opportunities to grow skills at the intersection of data engineering, people analytics, and AI
Skills
go
sql
aws
rust
git
python
Quick Actions
Job Information
-
Company:
Salesforce -
Location:
India - Hyderabad -
Job Type:
Full-Time -
Experience Level:
Senior -
Source:
Workday -
Status:
Active
Activity Score
67
/100
Likely Active (67)
Higher scores indicate more likely active hiring based on listing freshness, company activity, and other signals. Learn more →
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