
Senior Big Data Architect
1 day ago
Job Summary:
We are seeking a highly skilled Big Data Engineer to design and implement scalable data transformation pipelines using Snowflake and dbt, following industry-accepted best practices.
Key Responsibilities:
- Data Pipeline Development: Design and implement robust ELT pipelines using dbt on Snowflake, ensuring scalability and performance.
- Data Ingestion Pipelines: Build ingestion pipelines from various sources including relational databases, APIs, cloud storage, and flat files into Snowflake.
- Business Intelligence Services: Implement data modelling and transformation logic to support layered architecture (e.g., staging, intermediate, and mart layers or medallion architecture) to enable reliable and reusable data assets.
- Workflow Automation: Leverage orchestration tools (e.g., Airflow, dbt Cloud, or Azure Data Factory) to schedule and monitor data workflows.
Required Skills and Qualifications:
- 3 to 5 years of experience in big data engineering roles, with 2+ years of hands-on experience in Snowflake and dbt.
- Expert-level SQL and strong understanding of ELT principles.
- Familiarity with data quality and validation techniques: dbt tests, dbt docs, etc.
Core Competencies:
- Big Data Engineering and ELT Development: Building robust and modular data pipelines using dbt.
- Cloud Data Platform Expertise: Strong proficiency with Snowflake: warehouse sizing, query profiling, data loading, and performance optimization.
Soft Skills:
- Communication & Collaboration: Ability to present solutions and handle client discussions effectively.
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