Data Developer - Hybrid Model

Position: Dialogue Data Developer - Hybrid Model
Take on a vital role as a Data Developer with Dialogue, focusing on data quality and accessibility within our hybrid work structure. Contribute to our central Data Platform team.

This position is essential for ensuring that data engineers and analysts have easy access to well-documented data. You will lead the development of pipelines and model data that sets the standard across the organization. Your contributions will support faster, more accurate decision-making powered by reliable data.

Key Responsibilities:

• Construct data pipelines using Snowflake and dbt for transformation

• Design clear and trusted dbt data models for various layers

• Promote best practices in data modeling for internal teams

• Build ingestion pipelines for reliable data retrieval

• Establish observability and quality checks for data reliability

Requirements:

• Experience in Snowflake, dbt, and SQL-based modeling

• Proficient in orchestration tools like Airflow

• Strong understanding of software engineering & CI/CD

• Familiarity with AWS data services

• Willingness to support and improve team data access

Become an essential part of Dialogue's data journey by optimizing how data drives our organizational success.
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