Senior Data Engineer

2 days ago

Bharatpur, Rajasthan, India beBeeData Full time ₹ 2,00,00,000 - ₹ 3,00,00,000

Job Opportunity

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Overview: As a senior data engineer, you will be responsible for designing and implementing scalable ELT pipelines using dbt on Snowflake. You will work with multiple stakeholders to understand requirements and deliver clean, validated datasets.

Responsibilities:

  1. Develop and maintain complex data ingestion pipelines from various sources including relational databases, APIs, cloud storage, and flat files into Snowflake.
  2. Implement data modeling and transformation logic to support layered architecture (e.g., staging, intermediate, and mart layers or medallion architecture) to enable reliable and reusable data assets.
  3. Leverage orchestration tools (e.g., Airflow, dbt Cloud, or Azure Data Factory) to schedule and monitor data workflows.
  4. Apply dbt best practices: modular SQL development, testing, documentation, and version control.
  5. Perform performance optimizations in dbt/Snowflake through clustering, query profiling, materialization, partitioning, and efficient SQL design.
  6. Apply CI/CD and Git-based workflows for version-controlled deployments.
  7. Contribute to growing internal knowledge base of dbt macros, conventions, and testing frameworks.
  8. Collaborate with multiple stakeholders such as data analysts, data scientists, and data architects to understand requirements and deliver clean, validated datasets.

Required Skills and Qualifications:

  • 3 to 5 years of experience in data engineering roles, with 2+ years of hands-on experience in Snowflake and dbt.
  • Experience building and deploying dbt models in a production environment.
  • Expert-level SQL and strong understanding of ELT principles. Strong understanding of ELT patterns and data modeling (Kimball/Dimensional preferred).
  • Familiarity with data quality and validation techniques: dbt tests, dbt docs, etc.
  • Experience with Git, CI/CD, and deployment workflows in a team setting.
  • Familiarity with orchestrating workflows using tools like dbt Cloud, Airflow, or Azure Data Factory.

What We Offer:

A dynamic work environment with opportunities for growth and professional development.

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