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A data-driven technology company is seeking a Data Engineer to join a small, agile team. The successful candidate will design and maintain data pipelines, transforming raw datasets into actionable insights for analytics and decision-making. Proficiency in SQL and hands-on experience with dbt, Snowflake, and Airflow are required. The role embraces collaboration and best practices in DataOps in a remote work environment.
We9re looking for a Data Engineer to join a small, agile team and help build a modern, scalable data platform. You9ll design and maintain data pipelines, transform raw datasets into usable insights, and make data accessible for analytics and decision-making.
Build and optimize data pipelines with tools like dbt, Snowflake, and Airflow
Develop scalable data models for self-service BI (Tableau, Power BI)
Collaborate with cross-functional teams to deliver data solutions
Apply best practices in software development and DataOps
Ensure compliance with data security and governance standards
Strong SQL skills with experience across multiple sources
Hands-on experience with dbt, Snowflake, and Airflow
Knowledge of BI tools and data modelling best practices
Solid Excel skills
Collaborative, proactive, and eager to work with evolving tech
Cloud platform experience (AWS, Azure, GCP)
Familiarity with Git, CI/CD, and Python