
Senior Data Architect
2 days ago
We are seeking a skilled Data Engineer to design, build and optimize scalable data pipelines using Snowflake, AWS, DBT and SQL. Our ideal candidate has hands-on experience with data modeling, query optimization and performance tuning.
Key Responsibilities:
- Design, build and maintain ETL/ELT pipelines using AWS Glue, Lambda and DBT.
- Develop and optimize data models in Snowflake for scalability and performance.
- Write efficient and optimized SQL queries for data extraction, transformation and loading.
- Collaborate with business analysts, data scientists and stakeholders to understand data requirements.
- Ensure data quality, consistency and governance across all platforms.
- Monitor and troubleshoot data pipelines, ensuring timely delivery of data.
- Automate workflows and integrate data from multiple internal and external sources.
- Implement best practices for data security, cost optimization and performance tuning on AWS and Snowflake.
Required Skills & Qualifications:
- Bachelor's or Master's in Computer Science, Information Systems or related field.
- Proven expertise in Snowflake Data Warehouse (data modeling, query optimization, performance tuning).
- Strong knowledge of 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.
About this role:
- This is a fantastic opportunity to work with cutting-edge technologies and contribute to the development of our data infrastructure.
- You will be part of a dynamic team that values innovation, collaboration and continuous learning.
- Our company offers a competitive salary and benefits package, as well as opportunities for professional growth and development.
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