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Senior DBT Developer

Dreampath Services

5 - 10 years

Pune

Posted: 18/03/2026

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Job Description

Job Title: DBT Developer

Location: Pune / Gurgaon / Chennai

Experience: 6+ Years

Employment Type: Long term contract

Priority: High

Job Description

We are looking for an experienced DBT Developer with strong expertise in modern data transformation and analytics engineering. The ideal candidate should have hands-on experience with dbt Core, dbt Cloud, and data modeling best practices, along with the ability to design scalable data pipelines and ensure high data quality.

Key Responsibilities

  • Design, develop, and maintain scalable data transformation pipelines using dbt.
  • Build and manage data models across the entire analytics lifecycle.
  • Implement reusable logic using Jinja and dbt macros.
  • Recommend and implement optimal materialization strategies such as:
  • Incremental
  • Snapshot
  • View
  • Table
  • Ephemeral
  • Develop and maintain data quality tests including generic and singular tests.
  • Integrate and utilize external dbt packages such as:
  • dbt-utils
  • dbt-expectations
  • Elementary
  • Monitor and improve data observability and reliability.
  • Troubleshoot and resolve data transformation and quality issues.
  • Collaborate with data engineers, analysts, and stakeholders to deliver high-quality data models.
  • Maintain best practices for version control, CI/CD, and data governance.

Required Skills

  • 5+ years of hands-on experience with dbt (dbt Core and dbt Cloud).
  • Strong experience in Jinja templating and macro development.
  • Expertise in data modeling and analytics engineering principles.
  • Experience working with Git for version control.
  • Familiarity with AWS MWAA, Amazon Redshift, and modern data platforms.
  • Strong SQL and data transformation skills.
  • Ability to diagnose and resolve data quality issues and pipeline failures.

Preferred Qualifications

  • Experience working in enterprise-scale data environments.
  • Understanding of data engineering and analytics engineering best practices.
  • Experience with cloud-based data platforms and orchestration tools.

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