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
_SoftServe is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, age, sex, nationality, disability, sexual orientation, gender identity and expression, veteran status, and other protected characteristics under applicable law. Let’s put your talents and experience in motion with SoftServe.
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