Senior Data Engineer (Snowflake)

Blumetra

Hyderabad

Hybrid

INR 1,600,000 - 2,400,000

Full time

7 days ago
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Job summary

Blumetra is seeking a Senior Data Engineer in Hyderabad (Hybrid) with 6–8 years of experience to design, develop, and deploy scalable data pipelines using Snowflake and dbt. The role requires hands-on dbt development, Snowflake features, Git integration, DevOps, CI/CD, SQL, and Python.

You will build and maintain dbt models, tests, snapshots, and macros, while ensuring data lineage and thorough documentation across environments.

Qualifications

  • Hands-on experience with Snowflake and dbt.
  • Proficient in SQL and Python.
  • Experience with Git-based workflows and DevOps practices.
  • Familiar with CI/CD, Snowflake Dynamic Tables, and Snowflake Notebooks.

Responsibilities

  • Design, build, and deploy scalable data pipelines using Snowflake and dbt.
  • Develop and maintain dbt models, tests, snapshots, and macros.
  • Maintain documentation and data lineage within dbt projects.
  • Work with Snowflake capabilities and dbt models.
  • Utilize Snowflake Notebooks for development and deployment of environment changes.
  • Implement Snowflake DevOps practices and processes.
  • Manage dbt environments and targets across Dev, Test, Production.
  • Execute SQL scripts and dbt projects within Snowflake via Git repositories.
  • Design and maintain CI/CD pipelines using Snowflake Git integration and dbt.
  • Implement Slim CI, state-based runs, and automated testing gates in PRs.
  • Develop Python scripts and dbt Python models for orchestration and data processing.
  • Collaborate with data engineering, analytics, and other teams to deliver scalable data solutions.
  • Follow best practices for code quality, version control, testing, deployment, and standards.

Skills

Snowflake
dbt
Python
SQL
Git
CI/CD
DevOps
Dynamic Tables
Notebooks

Tools

GitHub/GitLab
Snowflake Notebooks

Job description

Designation: Senior Data Engineer

Work Location: Hybrid, Hyderabad (Financial District)

Experience: 6 - 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.
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