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Pipeline run

2b2cfb83-1725-49e9-b8a6-41ba902496c8

Pipeline LLM cost (USD)
API 1: $0.0046 API 2: $0.0000 API 3: $0.0000 Total: $0.0046

Client output enrichment

v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description
role baseline loaded sources · ai_index: jd · nature_of_work: jd · tech_stack_maturity: jd
Nature of work · Data transformation and modeling
Lead a small India data engineering team to curate customer data into structured domains, run data quality checks, and improve analytics delivery using ETL, SQL, Snowflake, and Agile tools. Also coordinates across global stakeholders to refine data strategy and modernize data processes.
"Actively curate customer related information into structured data domains for rapid analytical prototyping."
Tech stack maturity
Mainstream Modern
The skill set centers on widely adopted enterprise data technologies like Snowflake, SQL, and SQL Server, which are characteristic of mainstream modern cloud/data engineering rather than legacy-only or bleeding-edge stacks.
AI index (0 = no AI use, 5 = totally AI-dependent · v2.1)
0.00 / 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 (18)
Agile Scrum Kanban CRISP-DM Jira Confluence Microsoft Teams GitLab Amazon SageMaker Snowflake SQL Server ETL SQL Data Quality Assurance Statistical Methods Data Modeling Data Visualization PowerPoint
Skill cluster (3 dimension groups, role-scoped)
Cloud Data Warehouses
Snowflake
Programming Languages for Data Work
SQL
Cross-cutting / unaligned
Agile Scrum Kanban CRISP-DM Jira Confluence Microsoft Teams GitLab Amazon SageMaker SQL Server ETL Data Quality Assurance Statistical Methods Data Modeling Data Visualization PowerPoint
Show KRA description ↓
The job of a Senior Data Engineer is to lead a portion of the Data Infrastructure team located in India. This position will collaborate and coordinate with global and cross-functional stakeholders across Pitney Bowes’ organization and external partners. In addition, the position will drive continuous improvement of our processes and modernize our technologies. You will be an integral part of our talented team, supporting our continued growth, staging data that is the foundation of Client Analytics’ reports and analytics that drive better Marketing performance. • Collaborate and coordinate with the Director of Data Infrastructure across time zones. • Lead a small (< 6) India team of Data Engineers. • Work together with the teams of Pitney Bowes’ data landscape, including and not limited to the Data Strategy and Governance team, Engineering, Enterprise Information Management, Sales Operations, and Sales Reporting and Analytics. • Effectively communicate concepts with authority and conviction. • Increase efficiencies across data processes within the team. • Develop a deep understanding and fine-tune extensive experience in accessing internal databases and navigating our complex data infrastructure. • Stay abreast of latest industry topics, trends, news, methodologies, and tools. You will keep a constant eye out for potential improvements in analytics processes, data quality and data sources/tools. With minimal guidance: • Coach and develop your team to ensure a business understanding across the team. • Manage and help prioritize the bandwidth of the team. • Apply established analytical rigor and statistical methods to analyze large amounts of data for data quality assurance. • Actively curate customer related information into structured data domains for rapid analytical prototyping. • Embrace a measurable and repeatable analytics delivery model with proven industry methodologies (e.g. Agile Scrum/Kanban, CRISP-DM) and supporting tools (e.g. Jira, Confluence, Teams, Gitlab, SageMaker) • Encourage team members to probe into technical details that leverage your unique experiences. • Provide guidance to crafting and updating Pitney Bowes enterprise-wide data strategy and roadmap in the areas you are leading. • Leveraging visualization tools to provide expected counts and values to analysts. • Deliver systematic approaches, integrating work into applications and tools with our cross-functional teams of data engineers, product managers, design teams, business stakeholders, analysts, operational managers, developers and engineers. • Bachelor’s degree required in Information Technology, Computer Science, and/or Business Intelligence. • 4-6 years of experience in a related field • Prior experience leading a team. • Working knowledge of the business or domain area • Experience with ETL tools and databases (i.e. Snowflake, SQL Server) • Strong project management and prioritization skills. Ability to balance multiple priorities to meet timelines. • Must be a team player and self-starter with a strong ability and desire to learn new things. • Strong presentation skills to develop compelling PowerPoint presentations and can translate data modeling concepts into plain English. • Interest in tracking user metrics to inform change management decisions. • Experienced and comfortable working with Agile development teams • MBA is highly preferred. • Able to lead and adapt to changing priorities. • Highly collaborative, flexible, and communicative • Strong organizational skills • Comfortable presenting recommendations to colleagues and stakeholders

Signals

Skill engineering-manager
0.17
Alias data-engineer
1.00
KRA data-engineer
0.58

Post-classification

Centroidupdated · n=520
Alias collision log
New-role queue
New skills captured12
New KRA captured

Captured for admin review

Kanban primary Data Engineer pending
CRISP-DM primary Data Engineer pending
Jira primary Data Engineer pending
Confluence primary Data Engineer pending
Microsoft Teams primary Data Engineer pending
Amazon SageMaker primary Data Engineer pending
ETL primary Data Engineer pending
Data Quality Assurance primary Data Engineer pending
Statistical Methods primary Data Engineer pending
Data Modeling primary Data Engineer pending
Data Visualization primary Data Engineer pending
PowerPoint primary Data Engineer pending
Status: extract_from_jd_done Created: 2026-05-27T17:46:09.718043Z Updated: 2026-06-07T08:00:30.188614Z
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

At Pitney Bowes, we do the right thing, the right way. As a member of our team, you can too.

We have amazing people who are the driving force, the inspiration and foundation of our company. Our thriving culture can be broken down into four components: Client. Team. Win. Innovate.

We Actively Look For Prospects Who
• Are passionate about client success.
• Enjoy collaborating with others.
• Strive to exceed expectations.
• Move boldly in the quest for superior and best in market solutions.

Job Description

The Job

The job of a Senior Data Engineer is to lead a portion of the Data Infrastructure team located in India. This position will collaborate and coordinate with global and cross-functional stakeholders across Pitney Bowes’ organization and external partners. In addition, the position will drive continuous improvement of our processes and modernize our technologies. You will be an integral part of our talented team, supporting our continued growth, staging data that is the foundation of Client Analytics’ reports and analytics that drive better Marketing performance.

A day in the life…
• Collaborate and coordinate with the Director of Data Infrastructure across time zones.
• Lead a small (< 6) India team of Data Engineers.
• Work together with the teams of Pitney Bowes’ data landscape, including and not limited to the Data Strategy and Governance team, Engineering, Enterprise Information Management, Sales Operations, and Sales Reporting and Analytics.
• Effectively communicate concepts with authority and conviction. 
• Increase efficiencies across data processes within the team.
• Develop a deep understanding and fine-tune extensive experience in accessing internal databases and navigating our complex data infrastructure.
• Stay abreast of latest industry topics, trends, news, methodologies, and tools. You will keep a constant eye out for potential improvements in analytics processes, data quality and data sources/tools.

Responsibilities

With minimal guidance:
• Coach and develop your team to ensure a business understanding across the team.
• Manage and help prioritize the bandwidth of the team.
• Apply established analytical rigor and statistical methods to analyze large amounts of data for data quality assurance.
• Actively curate customer related information into structured data domains for rapid analytical prototyping.
• Embrace a measurable and repeatable analytics delivery model with proven industry methodologies (e.g. Agile Scrum/Kanban, CRISP-DM) and supporting tools (e.g. Jira, Confluence, Teams, Gitlab, SageMaker)
• Encourage team members to probe into technical details that leverage your unique experiences.
• Provide guidance to crafting and updating Pitney Bowes enterprise-wide data strategy and roadmap in the areas you are leading.
• Leveraging visualization tools to provide expected counts and values to analysts.
• Deliver systematic approaches, integrating work into applications and tools with our cross-functional teams of data engineers, product managers, design teams, business stakeholders, analysts, operational managers, developers and engineers.

Qualifications
• Bachelor’s degree required in Information Technology, Computer Science, and/or Business Intelligence.
• 4-6 years of experience in a related field
• Prior experience leading a team.
• Working knowledge of the business or domain area
• Experience with ETL tools and databases (i.e. Snowflake, SQL Server)

Must have
• Strong project management and prioritization skills. Ability to balance multiple priorities to meet timelines.
• Must be a team player and self-starter with a strong ability and desire to learn new things.
• Strong presentation skills to develop compelling PowerPoint presentations and can translate data modeling concepts into plain English.
• Interest in tracking user metrics to inform change management decisions. 
• Experienced and comfortable working with Agile development teams

Good to have
• MBA is highly preferred.
• Able to lead and adapt to changing priorities. 
• Highly collaborative, flexible, and communicative 
• Strong organizational skills 
• Comfortable presenting recommendations to colleagues and stakeholders

We Will
• Provide the will: opportunity to grow and develop your career
• Offer an inclusive environment that encourages diverse perspectives and ideas
• Deliver challenging and unique opportunities to contribute to the success of a transforming organization
• Offer comprehensive benefits globally (PB Live Well)

Pitney Bowes is an equal opportunity employer that values diversity and inclusiveness in the workplace.

All interested individuals must apply online.

Skills from this JD

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

Agile Primary No API 2 row (run stopped after API 1 or history missing)
Scrum Primary No API 2 row (run stopped after API 1 or history missing)
Kanban Primary No API 2 row (run stopped after API 1 or history missing)
CRISP-DM Primary No API 2 row (run stopped after API 1 or history missing)
Jira Primary No API 2 row (run stopped after API 1 or history missing)
Confluence Primary No API 2 row (run stopped after API 1 or history missing)
Microsoft Teams Primary No API 2 row (run stopped after API 1 or history missing)
GitLab Primary No API 2 row (run stopped after API 1 or history missing)
Amazon SageMaker Primary No API 2 row (run stopped after API 1 or history missing)
Snowflake Primary No API 2 row (run stopped after API 1 or history missing)
SQL Server Primary No API 2 row (run stopped after API 1 or history missing)
ETL Primary No API 2 row (run stopped after API 1 or history missing)
SQL Primary No API 2 row (run stopped after API 1 or history missing)
Data Quality Assurance Primary No API 2 row (run stopped after API 1 or history missing)
Statistical Methods Primary No API 2 row (run stopped after API 1 or history missing)
Data Modeling Primary No API 2 row (run stopped after API 1 or history missing)
Data Visualization Primary No API 2 row (run stopped after API 1 or history missing)
PowerPoint Primary 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
RoleSenior Data Engineer
CompanyPitney Bowes
Experience4-6 years of experience
DomainIT Services & Consulting
Location India, India (null)
JD type pass
Show raw JSON
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API 1 — extract-from-jd click to toggle
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        "matched_count": null,
        "matched_skills": null,
        "role_id": 2,
        "score": 0.5811,
        "slug": "data-engineer",
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      },
      {
        "display_name": "Flutter Developer",
        "kra_matches": [
          {
            "kra_text": "collaborate with design, product, and backend teams",
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            "similarity": 0.5351
          },
          {
            "kra_text": "collaborate with design, product, and backend teams",
            "sentence": "Collaborate and coordinate with the Director of Data Infrastructure across time zones.",
            "similarity": 0.5137
          },
          {
            "kra_text": "collaborate with design, product, and backend teams",
            "sentence": "Coach and develop your team to ensure a business understanding across the team.",
            "similarity": 0.4665
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 74,
        "score": 0.5051,
        "slug": "flutter-developer",
        "total_count": null
      },
      {
        "display_name": "DevOps Engineer",
        "kra_matches": [
          {
            "kra_text": "Collaborates with development teams to improve build processes, reduce deployment friction, containerize applications, and adopt DevOps best practices.",
            "sentence": "Increase efficiencies across data processes within the team.",
            "similarity": 0.5289
          },
          {
            "kra_text": "Collaborates with development teams to improve build processes, reduce deployment friction, containerize applications, and adopt DevOps best practices.",
            "sentence": "Deliver systematic approaches, integrating work into applications and tools with our cross-functional teams of data engineers, product managers, design teams, business stakeholders, analysts, operational managers, developers and engineers.",
            "similarity": 0.4948
          },
          {
            "kra_text": "Collaborates with development teams to improve build processes, reduce deployment friction, containerize applications, and adopt DevOps best practices.",
            "sentence": "Embrace a measurable and repeatable analytics delivery model with proven industry methodologies (e.g. Agile Scrum/Kanban, CRISP-DM) and supporting tools (e.g. Jira, Confluence, Teams, Gitlab, SageMaker)",
            "similarity": 0.4676
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 10,
        "score": 0.4971,
        "slug": "devops-engineer",
        "total_count": null
      },
      {
        "display_name": "Engineering Manager",
        "kra_matches": [
          {
            "kra_text": "Set team goals and delivery plans",
            "sentence": "Coach and develop your team to ensure a business understanding across the team.",
            "similarity": 0.5063
          },
          {
            "kra_text": "Set team goals and delivery plans",
            "sentence": "Manage and help prioritize the bandwidth of the team.",
            "similarity": 0.4945
          },
          {
            "kra_text": "Set team goals and delivery plans",
            "sentence": "Deliver systematic approaches, integrating work into applications and tools with our cross-functional teams of data engineers, product managers, design teams, business stakeholders, analysts, operational managers, developers and engineers.",
            "similarity": 0.477
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 121,
        "score": 0.4926,
        "slug": "engineering-manager",
        "total_count": null
      },
      {
        "display_name": "Fullstack Developer",
        "kra_matches": [
          {
            "kra_text": "Designs and queries relational databases like PostgreSQL and document stores like MongoDB, writing migrations, indexes, and optimized queries.",
            "sentence": "Develop a deep understanding and fine-tune extensive experience in accessing internal databases and navigating our complex data infrastructure.",
            "similarity": 0.4977
          },
          {
            "kra_text": "Implements complete product features end-to-end from database schema design through backend API to frontend UI using JavaScript, TypeScript, Python, or Ruby on Rails.",
            "sentence": "Deliver systematic approaches, integrating work into applications and tools with our cross-functional teams of data engineers, product managers, design teams, business stakeholders, analysts, operational managers, developers and engineers.",
            "similarity": 0.4862
          },
          {
            "kra_text": "Delivers features through CI/CD pipelines using automated tests, staged rollouts, feature flags, and incremental deployments.",
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            "similarity": 0.4753
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 15,
        "score": 0.4864,
        "slug": "full-stack-engineer",
        "total_count": null
      }
    ],
    "skill_match_roles": [
      {
        "display_name": "Engineering Manager",
        "kra_matches": null,
        "matched_count": 3,
        "matched_skills": [
          "Agile",
          "SQL",
          "Scrum"
        ],
        "role_id": 121,
        "score": 0.1667,
        "slug": "engineering-manager",
        "total_count": 18
      },
      {
        "display_name": "Data Engineer",
        "kra_matches": null,
        "matched_count": 2,
        "matched_skills": [
          "SQL",
          "Snowflake"
        ],
        "role_id": 2,
        "score": 0.1111,
        "slug": "data-engineer",
        "total_count": 18
      },
      {
        "display_name": "ML Engineer",
        "kra_matches": null,
        "matched_count": 1,
        "matched_skills": [
          "GitLab"
        ],
        "role_id": 3,
        "score": 0.0556,
        "slug": "ml-engineer",
        "total_count": 18
      },
      {
        "display_name": "Pega Developer",
        "kra_matches": null,
        "matched_count": 1,
        "matched_skills": [
          "SQL"
        ],
        "role_id": 24,
        "score": 0.0556,
        "slug": "pega-developer",
        "total_count": 18
      },
      {
        "display_name": "DevOps Engineer",
        "kra_matches": null,
        "matched_count": 1,
        "matched_skills": [
          "GitLab"
        ],
        "role_id": 10,
        "score": 0.0556,
        "slug": "devops-engineer",
        "total_count": 18
      }
    ]
  },
  "stage4_decision": {
    "alias_collision_detected": false,
    "case": "A",
    "chosen_role": {
      "display_name": "Data Engineer",
      "kra_matches": null,
      "matched_count": null,
      "matched_skills": null,
      "role_id": 2,
      "score": 1.0,
      "slug": "data-engineer",
      "total_count": null
    },
    "confidence": 1.0,
    "is_new_role": false,
    "llm2_fired": false,
    "llm2_reasoning": null,
    "matched_dimensions": [],
    "matched_kras": [],
    "matched_skills": [],
    "new_role_display_name": null,
    "new_role_slug": null,
    "queued": false,
    "reasoning": "Exact alias hit on data-engineer (1.0) \u2014 no other alias at this confidence; skill_top engineering-manager 0.17 does not contradict",
    "sub_role": null
  },
  "stage5_updates": {
    "centroid_n_after": 520,
    "centroid_updated": true,
    "collision_log_id": null,
    "new_kra_attached": null,
    "new_skills_attached": [
      {
        "is_primary": true,
        "queue_id": 25715,
        "role_display_name": "Data Engineer",
        "role_slug": "data-engineer",
        "skill_name": "Kanban",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 25716,
        "role_display_name": "Data Engineer",
        "role_slug": "data-engineer",
        "skill_name": "CRISP-DM",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 25717,
        "role_display_name": "Data Engineer",
        "role_slug": "data-engineer",
        "skill_name": "Jira",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 25718,
        "role_display_name": "Data Engineer",
        "role_slug": "data-engineer",
        "skill_name": "Confluence",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 25719,
        "role_display_name": "Data Engineer",
        "role_slug": "data-engineer",
        "skill_name": "Microsoft Teams",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 25720,
        "role_display_name": "Data Engineer",
        "role_slug": "data-engineer",
        "skill_name": "Amazon SageMaker",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 25721,
        "role_display_name": "Data Engineer",
        "role_slug": "data-engineer",
        "skill_name": "ETL",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 25722,
        "role_display_name": "Data Engineer",
        "role_slug": "data-engineer",
        "skill_name": "Data Quality Assurance",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 25723,
        "role_display_name": "Data Engineer",
        "role_slug": "data-engineer",
        "skill_name": "Statistical Methods",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 25724,
        "role_display_name": "Data Engineer",
        "role_slug": "data-engineer",
        "skill_name": "Data Modeling",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 25725,
        "role_display_name": "Data Engineer",
        "role_slug": "data-engineer",
        "skill_name": "Data Visualization",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 25726,
        "role_display_name": "Data Engineer",
        "role_slug": "data-engineer",
        "skill_name": "PowerPoint",
        "status": "pending"
      }
    ],
    "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
{}