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DBT Analyst

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Hybrid

DBT Analyst

Sigma Allied Services

DBT Analyst

Skills

SQL QueriesKafkaSnowflakeGitData AnalysisdbtGitHub

2 months ago

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Important information


Contract type:

Permanent

Salary:

₹1,000,000 – ₹1,500,000 / year

Location:

Mumbai, Maharashtra, India

Work mode:

Hybrid

Published on:

26 August 2026

What they need


Position: Analytics Engineer

Location: Mumbai- Onsite

Experience; 5+ Years

Job Description

Strong SQL & DBT Expertise
Experience building and maintaining scalable data models in  DBT .
Proficient in  modular SQL ,  Jinja templating , testing strategies, and DBT best practices.

  • Data Warehouse Proficiency
    Hands-on experience with  Snowflake  including:
    Dimensional and data vault modeling (star/snowflake schemas)
    Performance optimization and query tuning
    Role-based access and security management

  • Data Pipeline & Integration Tools
    Experience with  Kafka  (or similar event streaming tools) for ingesting real-time data.
    Familiarity with  SnapLogic  for ETL/ELT workflow design, orchestration, and monitoring.

  • Version Control & Automation
    Proficient in  Git  and  GitHub  for code versioning and collaboration.
    Experience with  GitHub Actions  or other CI/CD tools to automate DBT model testing, deployment, and documentation updates.

  • Data Quality & Governance
    Strong understanding of data validation, testing (e.g., dbt tests), and lineage tracking.
    Emphasis on  maintaining data trust  across pipelines and models.

  • Stakeholder Management
    Partner with business and technical stakeholders to define data needs and deliver insights.
    Ability to explain complex data concepts in clear, non-technical terms.

    • Documentation & Communication
      Maintain clear documentation for models, metrics, and data transformations (using DBT docs or similar).
      Strong verbal and written communication skills; able to work cross-functionally across teams.
    • Problem-Solving & Ownership
      Proactive in identifying and resolving data gaps or issues.
      Self-starter with a continuous improvement mindset and a focus on delivering business value through data.

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