
Chief Data Architect
6 days ago
We are seeking a skilled professional to design, build, and maintain scalable data pipelines.
This role is ideal for someone with hands-on experience in data engineering, who can collaborate with cross-functional teams to understand data requirements.
The successful candidate will have expertise in Snowflake Data Warehouse, AWS services, and DBT.
Key Responsibilities:- Design and implement ETL/ELT pipelines using AWS Glue, Lambda, and DBT.
- Develop and optimize data models in Snowflake for scalability and performance.
- Write efficient SQL queries for data extraction, transformation, and loading.
- Collaborate with stakeholders to ensure data quality, consistency, and governance.
- Monitor and troubleshoot data pipelines, ensuring timely delivery of data.
- Automate workflows and integrate data from multiple sources.
Required Skills & Qualifications:
- Bachelor's or Master's degree in Computer Science or related field.
- Proven expertise in Snowflake Data Warehouse (data modeling, query optimization).
- Strong expertise in AWS services: Lambda, Glue, S3, IAM, CloudWatch.
- Proficiency in DBT for data transformations and modular pipelines.
- Advanced knowledge of SQL (complex queries, performance optimization).
- Solid understanding of ETL/ELT design patterns and data integration best practices.
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