
Transformation Leader for Scalable Data Pipelines
3 days ago
Logic Pursuits is seeking a highly skilled Senior Data Engineer to lead the design and implementation of scalable, high-performance data pipelines using Snowflake and dbt. They will define architectural best practices, drive data transformation at scale, and work closely with clients to translate business needs into robust data solutions.
- Architect and implement modular, test-driven ELT pipelines using dbt on Snowflake.
- Design layered data models (e.g., staging, intermediate, mart layers / medallion architecture) aligned with dbt best practices.
- Lead ingestion of structured and semi-structured data from APIs, flat files, cloud storage, and databases into Snowflake.
Required Skills and Qualifications:
- Bachelor's or master's degree in computer science, Data Engineering, or a related field.
- 5-8 years of experience in data engineering roles, with 3+ years of hands-on experience working with Snowflake and dbt in production environments.
Key Technical Skills:
- Expert-level knowledge of SQL and Snowflake, including performance optimization, storage layers, query profiling, clustering, and cost management.
- Experience in dbt development: modular model design, macros, tests, documentation, and version control using Git.
Data Orchestration and Integration:
- Proficiency in orchestrating workflows using dbt Cloud, Airflow, or Azure Data Factory.
- Comfortable working with data ingestion from cloud storage and APIs.
Why Work with Us?
- Collaborate with a dynamic and talented team of data professionals.
- Work on modern data architecture at scale using cutting-edge technologies.
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