Snowflake Data Engineer

3 days ago

Hyderabad, Telangana, India YO IT Group Full time ₹ 15,00,000 - ₹ 20,00,000 per year

Experience: 3 to 5 Years

Qualifications
Required Qualifications

  • 3–5 years in data engineering; 2+ years hands-on with Snowflake and dbt.
  • Proven experience building and deploying dbt models in production.
  • Expert SQL skills and strong understanding of ELT principles.
  • Experience with Git, CI/CD, and team-based deployment workflows.
  • Familiarity with data quality and validation practices (e.g., dbt tests and dbt docs).

Preferred Qualifications

  • Experience with data modeling (Kimball or dimensional approaches).
  • Familiarity with orchestration tools such as dbt Cloud, Airflow, or Azure Data Factory.
  • Experience optimizing Snowflake performance (clustering, materializations, query tuning).

Job Description
We are looking for an experienced and results-driven Data Engineer to join our growing Data Engineering team.
The ideal candidate will be proficient in building scalable, high-performance data transformation pipelines using Snowflake and dbt and be able to effectively work in a consulting setup.
In this role, you will be instrumental in ingesting, transforming, and delivering high-quality data to enable data-driven decision-making across the client's organization.

Key Responsibilities

  • Design and implement scalable ELT pipelines using dbt on Snowflake, following industry accepted best practices.
  • Build ingestion pipelines from various sources including relational databases, APIs, cloud storage and flat files into Snowflake.
  • Implement data modelling and transformation logic to support layered architecture (e.g., staging, intermediate, and mart layers or medallion architecture) to enable reliable and reusable data assets..
  • Leverage orchestration tools (e.g., Airflow,dbt Cloud, or Azure Data Factory) to schedule and monitor data workflows.
  • Apply dbt best practices: modular SQL development, testing, documentation, and version control.
  • Perform performance optimizations in dbt/Snowflake through clustering, query profiling, materialization, partitioning, and efficient SQL design.
  • Apply CI/CD and Git-based workflows for version-controlled deployments.
  • Contribute to growing internal knowledge base of dbt macros, conventions, and testing frameworks.
  • Collaborate with multiple stakeholders such as data analysts, data scientists, and data architects to understand requirements and deliver clean, validated datasets.
  • Write well-documented, maintainable code using Git for version control and CI/CD processes.
  • Participate in Agile ceremonies including sprint planning, stand-ups, and retrospectives.
  • Support consulting engagements through clear documentation, demos, and delivery of client-ready solutions.

Skills: snowflake,dbt,sql,airflow,data engineering

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