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Salary
≈ $28k – $48k per year (Estimated)
Location
Hybrid (Hyderabad, India)
Seniority
Staff · 8+ years exp
Employment
Full-Time

First seen by Alion on Oct 13, 2026.

Overview
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Designation: Lead Data Engineer

Work Location: Hybrid, Hyderabad (Financial District)

Experience: 8+ Years

Mandatory skills: Snowflake, Python, DBT

Job Summary

We are looking for a skilled Data Engineer with strong experience in Snowflake and dbt to design, develop, and deploy scalable data pipelines and transformation workflows. The ideal candidate should have hands-on experience with dbt development, Snowflake features, Git integration, DevOps, CI/CD, SQL, and Python.Key Responsibilities

  • Design, build, and deploy scalable data pipelines using Snowflake and dbt.
  • Develop and maintain dbt models, tests, snapshots, and macros.
  • Maintain comprehensive documentation and data lineage within dbt projects.
  • Work with modern Snowflake capabilities, particularly Dynamic Tables, alongside dbt models.
  • Utilize Snowflake Notebooks for development and deployment of environment changes.
  • Implement and manage Snowflake DevOps practices and processes.
  • Manage dbt environments and targets across Development, Testing, and Production.
  • Execute SQL scripts and dbt projects directly within Snowflake using Git repositories.
  • Design and maintain CI/CD pipelines using Snowflake Git integration and dbt.
  • Implement Slim CI, state-based runs, and automated testing gates as part of pull request workflows.
  • Develop Python scripts and dbt Python models, where appropriate, for orchestration, automation, and data processing.
  • Collaborate with data engineering, analytics, and other technical teams to deliver reliable and scalable data solutions.
  • Follow best practices for code quality, version control, testing, deployment, and data engineering standards.

Required Skills

  • Strong hands-on experience with Snowflake.
  • Strong experience in dbt (data build tool).
  • Excellent SQL skills.
  • Experience developing dbt models, tests, snapshots, macros, and documentation.
  • Knowledge of Snowflake Dynamic Tables.
  • Experience with Snowflake Git integration and DevOps capabilities.
  • Hands-on experience with CI/CD pipelines.
  • Knowledge of dbt Slim CI and state-based deployments.
  • Experience with Git/GitHub/GitLab or similar version-control platforms.
  • Strong Python programming/scripting skills.
  • Experience working across Dev, Test, and Production environments.

Skills: dbt,snowflake,python
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