Snowflake Developer

4 - 9 years

9 - 19 Lacs

Posted:-1 days ago| Platform: Naukri logo

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Work Mode

Work from Office

Job Type

Full Time

Job Description

Role & responsibilities

Summary

forward-thinking professional with an AI-first mindset

Application Developer

Roles & Responsibilities

  • Lead AI-driven solution design

    and delivery by applying Generative and Agentic AI to address complex business challenges.
  • Automate processes

    and integrate intelligent insights into enterprise workflows for measurable impact.
  • Expected to perform independently and evolve into a

    Subject Matter Expert (SME)

    in AI-driven application development.
  • Actively

    participate in team discussions

    , contributing ideas and solutions.
  • Provide solutions

    to work-related problems with innovative approaches.
  • Assist in documentation

    of application processes, workflows, and technical specifications.
  • Engage in continuous learning

    to stay updated with industry trends, emerging technologies, and AI advancements.

Professional & Technical Skills

Must Have

  • Proficiency in Snowflake Data Warehouse

    with minimum 3 years of hands-on experience.
  • Strong grasp of

    Generative AI

    and

    Agentic AI

    concepts.
  • Expertise in

    prompt engineering

    and

    AI evaluation frameworks

    .
  • Ability to align AI capabilities with business objectives while ensuring

    scalability

    ,

    responsible use

    , and

    tangible value realization

    .

Good to Have

  • Experience with data integration tools

    and ETL processes.
  • Strong understanding of

    database management

    and optimization techniques.
  • Familiarity with

    cloud computing concepts

    and services.
  • Experience in

    application testing

    and debugging methodologies.

Additional Information

  • Location:

    Bengaluru office
  • Education Requirement:

    15 years of full-time education
  • Experience Requirement:

    Minimum 3 years in Snowflake Data Warehouse (preferred 46 years overall in Data Engineering)

Preferred candidate profile

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