Hire dbt Experts | Nearshore Software Development

dbt (data build tool) is a transformation workflow that lets teams quickly and collaboratively deploy analytics code following software engineering best practices like modularity, portability, CI/CD, and documentation. You need an expert who can use dbt to bring discipline and rigor to your analytics code, transforming your data warehouse into a reliable source of truth. Our vetting process, powered by Axiom Cortex™, finds engineers who are masters of analytics engineering. We test their ability to build modular data models, write comprehensive data tests, and create a well-documented and trustworthy data warehouse.

Is your data warehouse a black box of undocumented, untrusted SQL scripts?

The Problem

A collection of ad-hoc SQL scripts is not a data warehouse. It's a 'data swamp' that is impossible to maintain, difficult to trust, and a nightmare to onboard new team members to.

The TeamStation AI Solution

We vet for engineers who are experts in building clean, documented, and trustworthy data models with dbt. They must demonstrate the ability to apply software engineering best practices to analytics code, creating a data warehouse that is a true asset to your organization.

Proof: Documented, Tested, and Trusted Data Models

Are you constantly fighting fires caused by bad data?

The Problem

Without a robust testing framework, bad data can silently creep into your data warehouse, leading to incorrect reports, poor business decisions, and a loss of trust in your data.

The TeamStation AI Solution

Our engineers are proficient in dbt's testing framework. They are vetted on their ability to write comprehensive data tests to ensure the quality, integrity, and correctness of your data, allowing you to catch issues before they impact your business.

Proof: Improved Data Quality and Reliability

Core Competencies We Validate

dbt core concepts and project structure

Advanced Jinja and macro development

Data modeling and materializations

Data testing and documentation

CI/CD for dbt projects

Our Technical Analysis

The dbt evaluation focuses on analytics engineering best practices. Candidates are required to build a dbt project from scratch, demonstrating their ability to create modular models, write tests, and generate documentation. A critical assessment is their ability to use Jinja and macros to write clean, reusable, and maintainable transformation logic. We also test their understanding of dbt's different materialization strategies and when to use each one. Finally, we assess their experience in setting up a CI/CD pipeline for a dbt project to automate testing and deployment.

Related Specializations

Data Engineering SQL Snowflake

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Stop searching, start building. We provide top-tier, vetted nearshore dbt (Data Build Tool) talent ready to integrate and deliver from day one.

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