Snowflake DBT Developer

Rarr Technologies

Hyderabad

Hybrid

INR 1,500,000 - 2,600,000

Full time

3 days ago
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Job summary

Rarr Technologies in Hyderabad, India is seeking a skilled Snowflake + dbt Developer to design and maintain scalable data pipelines, data models, and transformation workflows. The role focuses on Snowflake, dbt, Python, and ELT processes to deliver robust data platforms for business stakeholders.

You will optimize Snowflake queries, develop dbt models, tests, snapshots, and macros, and collaborate with data engineers and analysts to meet data requirements while adhering to CI/CD and code-review

Qualifications

  • Strong hands-on experience with Snowflake.
  • Strong experience with dbt Core / dbt Cloud.
  • Strong SQL skills.
  • Good understanding of Data Warehousing and ETL/ELT concepts.
  • Experience in developing data transformation pipelines.
  • Experience with dbt models, tests, snapshots, macros, and incremental models.
  • Experience with Git and CI/CD.
  • Good understanding of data modelling concepts such as Star Schema and Fact/Dimension tables.

Responsibilities

  • Design, develop, and maintain scalable data pipelines and ELT workflows using Snowflake, dbt, and Python.
  • Develop and optimize dbt models, transformations, tests, snapshots, and macros.
  • Work extensively with Snowflake for data ingestion, transformation, warehousing, and performance optimization.
  • Develop Python scripts and applications for data processing, automation, validation, and pipeline orchestration.
  • Build reusable and scalable data transformation frameworks using dbt.
  • Implement data quality checks, testing, documentation, and lineage using dbt.
  • Optimize Snowflake queries, warehouses, storage, and overall data-processing performance.
  • Integrate data from multiple sources into Snowflake.
  • Troubleshoot data pipeline failures and resolve performance and data-quality issues.
  • Collaborate with Data Engineers, Data Analysts, BI teams, and business stakeholders to understand data requirements.
  • Follow best practices for Git, CI/CD, code reviews, and deployment of data pipelines.

Skills

Snowflake
dbt Core / dbt Cloud
SQL
Data Warehousing & ETL/ELT concepts
Data transformation pipelines
dbt models, tests, snapshots, macros,s
Git & CI/CD
Star Schema & dimensional modeling

Tools

Git
CI/CD tooling
Python
dbt

Job description

We are looking for a skilled Snowflake + dbt Developer with strong experience in data engineering, cloud data platforms, and modern ELT pipelines. The candidate will be responsible for developing and maintaining scalable data pipelines, data models, and transformation workflows using Snowflake, dbt.

Key Responsibilities
  • Design, develop, and maintain scalable data pipelines and ELT workflows using Snowflake, dbt, and Python.
  • Develop and optimize dbt models, transformations, tests, snapshots, and macros.
  • Work extensively with Snowflake for data ingestion, transformation, warehousing, and performance optimization.
  • Develop Python scripts and applications for data processing, automation, validation, and pipeline orchestration.
  • Build reusable and scalable data transformation frameworks using dbt.
  • Implement data quality checks, testing, documentation, and lineage using dbt.
  • Optimize Snowflake queries, warehouses, storage, and overall data-processing performance.
  • Integrate data from multiple sources into Snowflake.
  • Troubleshoot data pipeline failures and resolve performance and data-quality issues.
  • Collaborate with Data Engineers, Data Analysts, BI teams, and business stakeholders to understand data requirements.
  • Follow best practices for Git, CI/CD, code reviews, and deployment of data pipelines.
Mandatory Skills
  • Strong hands-on experience with Snowflake
  • Strong experience with dbt / dbt Core / dbt Cloud
  • Strong SQL skills
  • Good understanding of Data Warehousing and ETL/ELT concepts
  • Experience in developing data transformation pipelines
  • Experience with dbt models, tests, snapshots, macros, and incremental models
  • Experience with Git and CI/CD
  • Good understanding of data modelling concepts such as Star Schema, Fact and Dimension tables

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