Senior Data Modeler (Azure, Erwin)

7 - 12 years

12 - 22 Lacs

Posted:1 week ago| Platform: Naukri logo

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Work Mode

Remote

Job Type

Full Time

Job Description

About Company:

Papigen

Senior Data Modeler

Responsibilities:

  • Design and implement conceptual, logical, and physical 

    data models

     based on business needs.
  • Work on 

    Azure cloud technologies

     including 

    Azure Data Lake

    Azure Data Factory

    , and 

    Dremio

     for data virtualization.
  • Create and maintain 

    Low-Level Design (LLD)

     documents, 

    Unit Test Plans

    , and related documentation.
  • Collaborate with data engineers, developers, and analysts to ensure accurate and scalable data modeling.
  • Optimize data-related processes and adhere to coding and modeling standards.
  • Conduct 

    integration testing

     and support 

    bug fixing

     throughout the SDLC.
  • Participate in 

    SCRUM

     ceremonies and work closely with 

    onshore and offshore teams

    .
  • Manage timelines, deliverables, and communicate blockers or tradeoffs proactively.
  • Assist with documentation required for 

    OIS clearance

     and compliance audits.

Required Skills & Qualifications:

  • Bachelors in Computer Science

     or related field.
  • 8+ years

     of professional experience in 

    data modeling

     (logical & physical).
  • Strong expertise in 

    SQL

     and experience with 

    relational databases

     and 

    data warehouses

    .
  • Hands-on experience with data modeling tools like 

    Erwin

     or equivalent.
  • 5+ years

     working with 

    Azure Data Lake

    Azure Data Factory

    , and 

    Dremio

    .
  • Solid understanding of 

    data structures

    indexing

    , and 

    optimization techniques

    .
  • Performance tuning skills for models and queries in large datasets.
  • Strong communication skills, both verbal and written.
  • Highly organized, collaborative, and proactive team player.

Benefits & Perks:

  • Opportunity to work with leading global clients
  • Flexible work arrangements with remote options
  • Exposure to modern technology stacks and tools
  • Supportive and collaborative team environment
  • Continuous learning and career development opportunities

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