
High-Performance Data Pipeline Architect
10 hours ago
Job Overview:
We are seeking a highly skilled Senior Data Engineer to lead the design and implementation of scalable, high-performance data pipelines using Snowflake and dbt.
The ideal candidate will have 5-8 years of experience in data engineering roles, with 3+ years of hands-on experience working with Snowflake and dbt in production environments.
- Ambitious individuals should be able to architect and implement modular, test-driven ELT pipelines using dbt on Snowflake.
- Expertise in designing layered data models (e.g., staging, intermediate, mart layers / medallion architecture) aligned with dbt best practices is also required.
- Candidates must be able to lead ingestion of structured and semi-structured data from APIs, flat files, cloud storage (Azure Data Lake, AWS S3), and databases into Snowflake.
Key Responsibilities:
- We need someone who can optimize Snowflake for performance and cost: warehouse sizing, clustering, materializations, query profiling, and credit monitoring.
- Apart from this, the ideal candidate will apply advanced dbt capabilities including macros, packages, custom tests, sources, exposures, and documentation using dbt docs.
- Additionally, we require candidates to orchestrate workflows using dbt Cloud, Airflow, or Azure Data Factory, integrated with CI/CD pipelines.
Requirements:
- Bachelor's or master's degree in computer science, Data Engineering, or a related field.
- Certifications such as Snowflake SnowPro Advanced, dbt Certified Developer are a plus.
About Us:
We provide innovative technology solutions that help companies make better decisions by providing accurate information.
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