Data Engineer – Snowflake, dbt
Nagarro
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇵🇱 Poland
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
AWSCloudETLPythonSQL
About the role
- Design, develop, and maintain scalable data pipelines using Snowflake and dbt
- Write and optimize advanced SQL queries for performance and reliability
- Implement ETL/ELT processes to ingest and transform data from multiple sources
- Develop Python scripts for automation, data processing, and API integrations
- Build and manage data workflows using AWS services such as Glue, Lambda, S3, and CloudFormation
- Design and maintain data warehouse models, schemas, and transformations
- Collaborate with cross-functional teams to understand data requirements and deliver analytical solutions
- Implement and maintain version control, CI/CD pipelines, and best development practices
- Monitor, troubleshoot, and optimize data pipelines for performance and cost efficiency
Requirements
- Strong hands-on experience with Snowflake
- Advanced SQL proficiency
- Strong understanding of ETL/ELT concepts and data pipelines
- Hands-on experience with dbt
- Solid knowledge of data warehousing concepts, including schema design and data modeling
- Proficiency in Python for scripting and automation
- Experience with AWS services (Glue, Lambda, S3, CloudFormation)
- Familiarity with Git and CI/CD practices
- Understanding of APIs and CRUD operations
- Exposure to cloud-native data architectures
Benefits
- No specific benefits mentioned in the job posting.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SnowflakeSQLETLELTdbtPythonAWSdata warehousingdata modelingAPI
Soft skills
collaborationcommunication