Senior Big Data Engineer (Snowflake + dbt)

Job description

ABOUT THE ROLE

In this role, you will build and improve scalable cloud-based data solutions using AWS, Snowflake, Python, and dbt. You will work on complex data workflows, support optimization initiatives, and collaborate with cross-functional teams to deliver reliable and efficient data platforms across different stages of the project lifecycle.

RESPONSIBILITIES

- Design, develop, and maintain scalable ELT pipelines using Python, SQL, Snowflake, and dbt

- Build and optimize cloud-based data solutions within AWS environments

- Work with large datasets, improving query performance and processing efficiency

- Develop and maintain workflow orchestration using Airflow

- Collaborate with technical and business stakeholders to understand requirements and deliver effective data solutions

- Participate in architecture discussions and contribute to the implementation of scalable data platforms

- Support data modeling, testing, deployment, and continuous improvement activities

- Share knowledge and contribute to engineering best practices within the team

- Participate in the full project lifecycle, from PoC and MVP stages to production implementation

REQUIREMENTS

- 5+ years of experience in Data Engineering

- Strong expertise in AWS cloud services and Snowflake

- Advanced proficiency in Python and SQL

- Extensive experience implementing ELT processes using dbt

- Hands-on experience with Airflow or similar orchestration tools

- Strong knowledge of query optimization, data modeling, and large-scale data processing

- Analytical and problem-solving mindset with attention to detail

- Strong communication and collaboration skills

- Upper-intermediate or higher level of English