Senior Technical Specialist - DBT

Datavail Infotech
Remote

About The Position

We are looking for a skilled DBT (Data Build Tool) Data Engineer to design, build, and optimize modern data transformation pipelines. The ideal candidate has strong SQL skills, hands-on experience with cloud data warehouses, and a solid understanding of data modeling and ELT best practices. You will work closely with analytics, data science, and business teams to deliver clean, reliable, and well-documented data models.

Requirements

  • 3+ years’ experience in Data Engineering / ELT development .
  • Strong SQL proficiency, with experience writing optimized queries.
  • Hands_on experience with DBT Core or DBT Cloud .
  • Experience with any cloud data warehouse: Snowflake / BigQuery / Redshift / Azure Synapse .
  • Familiarity with Git , CI/CD pipelines, and modern data stack principles.
  • Understanding of data modeling techniques (Kimball, Data Vault, Star/Snowflake

Nice To Haves

  • Experience integrating DBT with orchestrators (Airflow, Dagster, Prefect, etc.).

Responsibilities

  • Data Modeling & DBT Development Develop and maintain DBT models (staging, intermediate, mart layers) following modular design and best practices.
  • Implement dbt tests, documentation, sources, macros, and packages .
  • Build reusable and scalable data transformation frameworks.
  • Data Pipeline Engineering Design and optimize ELT workflows using DBT integrated with orchestrators (Airflow, Dagster, Prefect, etc.).
  • Work with cloud data environments such as Snowflake, BigQuery, Redshift, Databricks.
  • Ensure high performance of SQL transformations and warehouse queries.
  • Data Quality & Governance Implement and maintain data quality tests within DBT (unique, not null, referential integrity).
  • Contribute to version control, CI/CD, documentation standards, and best practices.
  • Collaboration & Stakeholder Support Work with analysts and business teams to understand requirements and convert them into scalable data models.
  • Support data consumers with well_structured data and documentation (dbt docs).
  • Participate in code reviews and provide engineering guidance.

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What This Job Offers

Career Level

Senior

Education Level

No Education Listed

Number of Employees

251-500 employees

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