Software Engineering LMTS Data Engineer
Salesforce
🔍 Observed
66
Hiring Activity Score
Likely Active (65-79)
- Base score
- Posted 21 days ago
- has location, quality description (7009 chars)
- 7 skills
- High confidence (90%)
- Direct ATS (workday)
India - Hyderabad
First seen 3 weeks ago
Last seen 4 hours, 17 minutes ago
Workday
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Try Direct Link (may be expired)Job Description
AI Summary
• Design and scale automated data pipelines on AWS (Redshift, Kinesis) to power Salesforce Data Cloud, handling real-time ingestion through APIs and complex ETL processing
• Manage the full data lifecycle from ingestion to modeling, ensuring high-quality data delivery for Analytics and Data Science teams while translating business needs into technical architecture
• Require 6+ years of experience with mastery in SQL (PostgreSQL), Python, and orchestration tools (Airflow or Dagster), plus experience with Salesforce Data Cloud, Heroku, or MuleSoft preferred
• Work cross-functionally with internal tech teams and Sales/Marketing stakeholders as a self-starter comfortable with ambiguity and tight deadlines, maintaining a team-first mentality
• Part of Salesforce's Digital Transformation mission, supporting enterprise and online business growth through data-driven insights and automated data collection processes
Skills
go
aws
git
rust
sql
python
postgresql
Quick Actions
Job Information
-
Company:
Salesforce -
Location:
India - Hyderabad -
Job Type:
Full-Time -
Experience Level:
Senior -
Source:
Workday -
Status:
Active
Activity Score
66
/100
Likely Active (66)
Higher scores indicate more likely active hiring based on listing freshness, company activity, and other signals. Learn more →
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