Role OverviewJoin a dynamic team as a Senior Data Engineer, focusing on designing and building modern data pipelines within a cloud environment.
What You Will Do
Design, develop, and maintain scalable ELT/ETL pipelines, develop and manage dbt models, build Python modules, and troubleshoot complex SQL queries.
Why It Might Be a Fit
This role involves collaborating with business and IT stakeholders, communicating technical concepts to both technical and non-technical audiences, and supporting job orchestration and automation.
Requirements
- 8+ years of experience in data engineering, ETL/ELT, and data warehouse or data lake development
- Proven hands-on experience with dbt, including building models, tests, and documentation in a production environment
- Extensive experience with Snowflake, including data modeling, performance tuning, security, and cost management
- Strong AWS expertise, particularly with S3, Lambda, Glue, EC2, SQS, and SNS
- Advanced SQL skills, including writing and tuning complex queries across relational databases
- Proficiency in Python, specifically Pandas and NumPy, for data processing and automation
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