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Pipeline run

9f125b48-851f-48eb-a6aa-3f7931ea7178

Pipeline LLM cost (USD)
API 1: $0.0027 API 2: $0.0000 API 3: $0.0000 Total: $0.0027

Client output enrichment

v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description
SPARSE JD role baseline loaded sources · ai_index: role_baseline · nature_of_work: jd · tech_stack_maturity: role_baseline
Nature of work · Data transformation and modeling
Learns Snowflake fundamentals and applies basic SQL/data concepts to analyze simple data scenarios, supported by mentorship and hands-on exercises. Communicates findings and collaborates on problem-solving rather than building production pipelines.
"Hands-on exposure to real-world data scenarios"
Tech stack maturity
Modern Cloud Native
Data engineers typically build cloud-based batch and streaming pipelines and warehouse models, but AI is usually incidental rather than central to the role.
AI index (0 = no AI use, 5 = totally AI-dependent · v2.1)
1.20 / 5
· Title match
· Has AI skill
· AI skill (primary)
· AI skill (secondary)
· On AI team
· Builds AI products
vocab breakdown (legacy)
Assistants (×1):
Frameworks (×2):
Models / concepts (×3):
Evidence — skills matched in JD (2)
SQL Snowflake
Skill cluster (2 dimension groups, role-scoped)
Cloud Data Warehouses
Snowflake
Programming Languages for Data Work
SQL
Show KRA description ↓
Basic understanding of databases and data concepts Fundamental knowledge of SQL (preferred) Willingness to learn Snowflake and cloud data platforms Good analytical thinking and problem-solving skills Effective communication and teamwork abilities Recent graduates or final-year students from any technical background Academic projects or internship exposure is a plus but not mandatory Structured learning focused on Snowflake fundamentals Hands-on exposure to real-world data scenarios Snowflake Certification will be provided upon successful completion Guidance and mentorship from industry professionals Flexible and supportive remote learning environment

Signals

Skill data-engineer
1.00
Alias data-engineer
0.37
KRA data-engineer
0.44

Post-classification

Centroidupdated · n=21
Alias collision log
New-role queue
New skills captured0
New KRA captured
Status: extract_from_jd_done Created: 2026-05-21T13:37:52.585120Z Updated: 2026-05-21T13:37:53.307478Z
Flow Current 3-step pipeline

1 POST /skills/extract-from-jd

2 POST /skills/extract-details

3 POST /skills/final-role-output

Role Chosen role & resolution

No chosen role stored for this run.

Job description

About the job
About Claroda

We are a new-age boutique Snowflake-focused Systems Integrator, founded by industry veterans who have spent decades building high‑performing technology organizations and delivering large‑scale digital transformation. Now, we’re coming together with a singular mission: to help customers unlock the full power of the Snowflake Data Cloud through expert advisory, architecture excellence, and world‑class implementation.

Internship Details

Mode: Complete Remote Opportunity

Internship Type: Internship (Snowflake-focused)

What We’re Looking For

Basic understanding of databases and data concepts

Fundamental knowledge of SQL (preferred)

Willingness to learn Snowflake and cloud data platforms

Good analytical thinking and problem-solving skills

Effective communication and teamwork abilities

Eligibility

Recent graduates or final-year students from any technical background

Academic projects or internship exposure is a plus but not mandatory

Why Join This Internship?

Structured learning focused on Snowflake fundamentals

Hands-on exposure to real-world data scenarios

Snowflake Certification will be provided upon successful completion

Guidance and mentorship from industry professionals

Flexible and supportive remote learning environment

Note: This is a paid internship.Skills: sql,dsa,python

Skills from this JD

Each row merges API 1 extraction, API 2 library match / v3 orchestration (dimensions + locked dims), and API 3 persistence tags.

SQL Primary No API 2 row (run stopped after API 1 or history missing)
Snowflake Secondary No API 2 row (run stopped after API 1 or history missing)

Library artifacts (this run)

No artifact rows for this run.
nano JD Parser — gpt-4.1-nano click to toggle
RoleInternship (Snowflake-focused)
CompanyClaroda
DomainOther
Location(remote)
JD type pass

Certifications

Snowflake Certification
Show raw JSON
{
  "JD_type": "pass",
  "about_company": {
    "source_marker": {
      "first_5_words": "We are a new-age boutique",
      "last_5_words": "architecture excellence, and world\u2011class implementation."
    },
    "text": "We are a new-age boutique Snowflake-focused Systems Integrator, founded by industry veterans who have spent decades building high\u2011performing technology organizations and delivering large\u2011scale digital transformation. Now, we\u2019re coming together with a singular mission: to help customers unlock the full power of the Snowflake Data Cloud through expert advisory, architecture excellence, and world\u2011class implementation.",
    "word_count": 64
  },
  "archetype_override_applied": true,
  "archetype_override_matched_skills": [
    "Python",
    "data platforms",
    "SQL",
    "Snowflake",
    "Cloud"
  ],
  "certifications": [
    "Snowflake Certification"
  ],
  "company_name": "Claroda",
  "ctc": null,
  "domain": {
    "primary": {
      "aliases": [],
      "domain": "Other"
    },
    "secondary": null
  },
  "education": [
    {
      "level": "null",
      "qualification": "null - Technical Background",
      "raw": "Recent graduates or final-year students from any technical background",
      "requirement": "required"
    }
  ],
  "experience": {
    "max": null,
    "min": null,
    "raw": null
  },
  "job_locations": [
    {
      "aliases": [],
      "city": null,
      "country": null,
      "state": null,
      "work_mode": "remote"
    }
  ],
  "role": "Internship (Snowflake-focused)",
  "role_aliases": [
    "Intern",
    "Data Intern",
    "Snowflake Intern"
  ],
  "role_archetype": "Engineering",
  "roles_and_responsibilities": [
    {
      "bullet_count": 5,
      "heading": "What We\u2019re Looking For",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "Basic understanding of databases and",
        "last_5_words": "communication and teamwork abilities"
      },
      "text": "Basic understanding of databases and data concepts\nFundamental knowledge of SQL (preferred)\nWillingness to learn Snowflake and cloud data platforms\nGood analytical thinking and problem-solving skills\nEffective communication and teamwork abilities",
      "word_count": 34
    },
    {
      "bullet_count": 2,
      "heading": "Eligibility",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "Recent graduates or final-year students",
        "last_5_words": "but not mandatory"
      },
      "text": "Recent graduates or final-year students from any technical background\nAcademic projects or internship exposure is a plus but not mandatory",
      "word_count": 22
    },
    {
      "bullet_count": 5,
      "heading": "Why Join This Internship?",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "Structured learning focused on Snowflake",
        "last_5_words": "supportive remote learning environment"
      },
      "text": "Structured learning focused on Snowflake fundamentals\nHands-on exposure to real-world data scenarios\nSnowflake Certification will be provided upon successful completion\nGuidance and mentorship from industry professionals\nFlexible and supportive remote learning environment",
      "word_count": 41
    }
  ],
  "urls": []
}
API 1 — extract-from-jd click to toggle
{
  "final_skills": [
    {
      "is_primary": true,
      "skill_name": "SQL"
    },
    {
      "is_primary": false,
      "skill_name": "Snowflake"
    }
  ],
  "jd_role": {
    "display_name": "Internship (Snowflake-focused)",
    "rationale": null,
    "role_aliases": [
      "Intern",
      "Data Intern",
      "Snowflake Intern"
    ],
    "role_archetype": "Engineering",
    "slug": ""
  },
  "nano_parsed": {
    "JD_type": "pass",
    "about_company": {
      "source_marker": {
        "first_5_words": "We are a new-age boutique",
        "last_5_words": "architecture excellence, and world\u2011class implementation."
      },
      "text": "We are a new-age boutique Snowflake-focused Systems Integrator, founded by industry veterans who have spent decades building high\u2011performing technology organizations and delivering large\u2011scale digital transformation. Now, we\u2019re coming together with a singular mission: to help customers unlock the full power of the Snowflake Data Cloud through expert advisory, architecture excellence, and world\u2011class implementation.",
      "word_count": 64
    },
    "archetype_override_applied": true,
    "archetype_override_matched_skills": [
      "Python",
      "data platforms",
      "SQL",
      "Snowflake",
      "Cloud"
    ],
    "certifications": [
      "Snowflake Certification"
    ],
    "company_name": "Claroda",
    "ctc": null,
    "domain": {
      "primary": {
        "aliases": [],
        "domain": "Other"
      },
      "secondary": null
    },
    "education": [
      {
        "level": "null",
        "qualification": "null - Technical Background",
        "raw": "Recent graduates or final-year students from any technical background",
        "requirement": "required"
      }
    ],
    "experience": {
      "max": null,
      "min": null,
      "raw": null
    },
    "job_locations": [
      {
        "aliases": [],
        "city": null,
        "country": null,
        "state": null,
        "work_mode": "remote"
      }
    ],
    "role": "Internship (Snowflake-focused)",
    "role_aliases": [
      "Intern",
      "Data Intern",
      "Snowflake Intern"
    ],
    "role_archetype": "Engineering",
    "roles_and_responsibilities": [
      {
        "bullet_count": 5,
        "heading": "What We\u2019re Looking For",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "Basic understanding of databases and",
          "last_5_words": "communication and teamwork abilities"
        },
        "text": "Basic understanding of databases and data concepts\nFundamental knowledge of SQL (preferred)\nWillingness to learn Snowflake and cloud data platforms\nGood analytical thinking and problem-solving skills\nEffective communication and teamwork abilities",
        "word_count": 34
      },
      {
        "bullet_count": 2,
        "heading": "Eligibility",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "Recent graduates or final-year students",
          "last_5_words": "but not mandatory"
        },
        "text": "Recent graduates or final-year students from any technical background\nAcademic projects or internship exposure is a plus but not mandatory",
        "word_count": 22
      },
      {
        "bullet_count": 5,
        "heading": "Why Join This Internship?",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "Structured learning focused on Snowflake",
          "last_5_words": "supportive remote learning environment"
        },
        "text": "Structured learning focused on Snowflake fundamentals\nHands-on exposure to real-world data scenarios\nSnowflake Certification will be provided upon successful completion\nGuidance and mentorship from industry professionals\nFlexible and supportive remote learning environment",
        "word_count": 41
      }
    ],
    "urls": []
  },
  "rejected": false,
  "rejection_reason": null,
  "run_id": "9f125b48-851f-48eb-a6aa-3f7931ea7178",
  "stage3_signals": {
    "alias_found": true,
    "alias_match_roles": [
      {
        "display_name": "Data Engineer",
        "matched_count": null,
        "role_id": 2,
        "score": 0.3704,
        "slug": "data-engineer",
        "total_count": null
      }
    ],
    "kra_match_roles": [
      {
        "display_name": "Data Engineer",
        "matched_count": null,
        "role_id": 2,
        "score": 0.4413,
        "slug": "data-engineer",
        "total_count": null
      },
      {
        "display_name": "Full Stack Engineer",
        "matched_count": null,
        "role_id": 15,
        "score": 0.404,
        "slug": "full-stack-engineer",
        "total_count": null
      },
      {
        "display_name": "Backend Engineer",
        "matched_count": null,
        "role_id": 1,
        "score": 0.3314,
        "slug": "backend-engineer",
        "total_count": null
      },
      {
        "display_name": "Cloud Security Engineer",
        "matched_count": null,
        "role_id": 23,
        "score": 0.3253,
        "slug": "cloud-security-engineer",
        "total_count": null
      },
      {
        "display_name": "ML Engineer",
        "matched_count": null,
        "role_id": 3,
        "score": 0.3232,
        "slug": "ml-engineer",
        "total_count": null
      }
    ],
    "skill_match_roles": [
      {
        "display_name": "Data Engineer",
        "matched_count": 2,
        "role_id": 2,
        "score": 1.0,
        "slug": "data-engineer",
        "total_count": 2
      }
    ]
  },
  "stage4_decision": {
    "alias_collision_detected": false,
    "case": "A",
    "chosen_role": {
      "display_name": "Data Engineer",
      "matched_count": null,
      "role_id": 2,
      "score": 0.4413,
      "slug": "data-engineer",
      "total_count": null
    },
    "confidence": 0.4413,
    "is_new_role": false,
    "llm2_fired": false,
    "llm2_reasoning": null,
    "new_role_display_name": null,
    "new_role_slug": null,
    "queued": false,
    "reasoning": "All 3 signals top-rank data-engineer"
  },
  "stage5_updates": {
    "centroid_n_after": 21,
    "centroid_updated": true,
    "collision_log_id": null,
    "new_kra_attached": null,
    "new_skills_attached": [],
    "queue_entry_id": null,
    "v3_pipeline_triggered": false,
    "v3_role_slug": null,
    "v3_run_id": null
  }
}
API 2 — extract-details
{}
API 3 — final-role-output
{}

LLM Calls

Every model call made for this run, in pipeline order. Click a card to see the model's response.

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