
Data Engineering Specialist
1 day ago
- Develop and implement ETL/ELT pipelines using AWS Glue, Lambda, and DBT for efficient data integration.
- Design scalable and high-performing data models in Snowflake to meet business needs.
- Write optimized SQL queries for data extraction, transformation, and loading to ensure timely delivery.
- Collaborate with stakeholders to understand data requirements and ensure seamless integration.
- Maintain data quality, consistency, and governance across all platforms to minimize errors.
- Monitor and troubleshoot data pipelines to prevent delays.
- 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).
- Expertise in AWS services: Lambda, Glue, S3, IAM, CloudWatch.
- Proficiency in DBT for modular pipelines and data transformations.
- 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).
This role offers a unique opportunity to work with cutting-edge technologies and contribute to the success of our organization. If you're passionate about data engineering and looking for a challenging role that allows you to grow professionally, we encourage you to apply.
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Data Governance Specialist
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