Snowflake Dbt Architect

3 days ago

Vijayawada, Andhra Pradesh, India beBeeData Full time US$ 1,00,000 - US$ 1,40,000
Big Data Architect Specialist

The role of a Big Data Architect Specialist involves the design and implementation of scalable data pipelines using dbt on Snowflake, following industry-accepted best practices. This requires expertise in data transformation, performance tuning, and deployment workflows.

This position demands experience building and deploying dbt models in a production environment, with hands-on knowledge of Snowflake and dbt. The ideal candidate will have strong SQL skills, proficiency in Git, CI/CD, and orchestration tools, as well as excellent communication and collaboration skills.

Key Responsibilities:

  • Design and implement scalable ELT pipelines using dbt on Snowflake.
  • 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.
  • Leverage orchestration tools 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.
  • Collaborate with multiple stakeholders to understand requirements and deliver clean, validated datasets.

Required 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.
  • Familiarity with data quality and validation techniques: dbt tests, dbt docs, etc.
  • Experience with Git, CI/CD, and deployment workflows in a team setting.

Technical Skills:

  • Languages & Frameworks:
  • Python: For data transformation, notebook development, automation.
  • SQL: Strong grasp of SQL for querying and performance tuning.

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