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Market-Observed Role 🔍 Observed Likely Active (65-79)
This role was detected through Salesforce's hiring system and hasn't been verified directly by the employer. Our algorithm scored it as Likely Active (65-79) based on freshness, specificity, and company patterns. What does this mean? →

Software Engineering LMTS/SMTS (Bigdata Spark and AI skills) - Informatica

Salesforce
🔍 Observed
71
Hiring Activity Score
Likely Active (65-79)
  • Base score
  • Just posted
  • has location, quality description (6363 chars)
  • 8 skills
  • High confidence (90%)
  • Direct ATS (workday)
How the Hiring Activity Score works →
India - Bangalore First seen 1 hour, 51 minutes ago Last seen 1 hour, 51 minutes ago Workday
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Job Description

AI Summary
• Engineer autonomous data governance solutions as a senior engineer on Informatica IDMC, combining backend development with Spark, data lakes, and generative AI within the Salesforce ecosystem • Lead full software development lifecycle including system design, automated testing, deployment, and performance optimization while providing architectural guidance and mentorship to team members • Develop high-performance backend services using Java/Python and Apache Spark for processing massive datasets, plus design and optimize modern data lake architectures for cloud environments • Requires 5+ years enterprise software development experience with strong Java or Python skills, hands-on Apache Spark expertise, distributed systems knowledge, and a CS degree or equivalent • This is a hybrid LMTS/SMTS (senior-level) role at Salesforce's Data Governance team; note that applicants should apply to a maximum of 3 roles within 12 months to avoid duplicate efforts

Skills

go kubernetes aws docker rust java git python
Job Information
  • Company:
    Salesforce
  • Location:
    India - Bangalore
  • Job Type:
    Full-Time
  • Experience Level:
    Senior
  • Source:
    Workday
  • Status:
    Active
Activity Score
71 /100
Likely Active (71)

Higher scores indicate more likely active hiring based on listing freshness, company activity, and other signals. Learn more →

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🔍 Observed Market-Observed Roles

These roles were detected through employer hiring systems like Workday. They haven't been verified by the employer directly, so we score each one using our Hiring Activity Score — an algorithm that analyzes freshness, specificity, company hiring patterns, and more to estimate whether the role is actively being filled.

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