
Master Data Architect
3 days ago
We are seeking a skilled professional to design, build, and optimize scalable data pipelines using Snowflake, AWS, and DBT.
The ideal candidate will be responsible for:
- Designing, building, and maintaining ETL/ELT pipelines using AWS Glue, Lambda, and DBT.
- Developing and optimizing data models in Snowflake for scalability and performance.
- Writing efficient and optimized SQL queries for data extraction, transformation, and loading.
- Collaborating with business analysts, data scientists, and stakeholders to understand data requirements.
- Ensuring data quality, consistency, and governance across all platforms.
- Monitoring and troubleshooting data pipelines, ensuring timely delivery of data.
- Automating workflows and integrating data from multiple internal and external sources.
- Bachelor's or Master's degree in Computer Science, Information Systems, or related field.
- Hands-on experience with Snowflake Data Warehouse (data modeling, query optimization, performance tuning).
- Strong expertise in AWS services: Lambda, Glue, S3, IAM, CloudWatch.
- Proficiency in DBT (Data Build Tool) 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.
- Experience with CI/CD pipelines and version control (Git).
- Knowledge of data governance, lineage, and security best practices.
This is an exciting opportunity to contribute to building innovative data solutions.
You will have the chance to work with a talented team of experts and develop your skills in data engineering.
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