Overview
This role as a Data Engineer involves contributing to a significant data transformation program within the media sector. The contractor will work in a remote capacity, collaborating with cross-functional teams to build and optimize scalable data pipelines and analytics solutions using cloud technologies, primarily AWS, Snowflake, dbt, and Airflow.
Responsibilities
- Develop and maintain scalable data pipelines using AWS, Snowflake, dbt, and Airflow.
- Build and optimize data transformation models using dbt and SQL.
- Create and manage reliable data ingestion and orchestration workflows using Airflow.
- Work with large-scale datasets in Snowflake and AWS environments.
- Collaborate with data engineering, analytics, and platform teams to ensure robust data solutions.
- Contribute to testing, monitoring, and documentation of data pipelines and models.
Requirements
- Strong experience with SQL and modern data engineering practices.
- Hands-on experience with Snowflake and dbt.
- Extensive experience with Apache Airflow for data orchestration.
- Familiarity with AWS data services and cloud-based data platforms.
- Strong Python skills for data engineering and pipeline development.
- Ability to analyze, transform, and optimize complex datasets.
- Excellent problem-solving skills and collaborative mindset with technical and business stakeholders.