
Senior Data Engineer
3 days ago
Transforming Data into Insights
About This RoleWe are seeking an experienced data engineer to drive the development and maintenance of efficient data pipelines. The ideal candidate will possess a strong background in extract, transform, and load (ETL) processes, data engineering, and experience working with cloud-based data platforms.
- Data Pipeline Development: Design, develop, and maintain robust data pipelines using FiveTran, DBT Cloud, and custom frameworks to extract, transform, and load data from various sources.
- Data Transformations: Collaborate with the integration team to implement client-specific data transformations and ensure seamless data flow.
- Data Quality Assurance: Support data ingestion and quality checks during client onboarding, ensuring high-quality data delivery.
- Data Performance Optimization: Analyze and optimize Snowflake queries, compute usage, and data storage to improve overall data performance.
- Collaboration with Quality Control: Work closely with the Quality Control (QC) team to validate ETL processes, identify areas for improvement, and ensure data consistency.
Requirements: 5+ years of experience in ETL development and data engineering, strong expertise in Snowflake, FiveTran, DBT Cloud, proficient in SQL, Python, and AWS data services, experience with data quality frameworks and validation strategies.
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