Data Engineer (Snowflake & AWS)
Job Status: ClosedBuild and maintain ETL pipelines and data quality processes across Snowflake and AWS for our clients.
We are looking for an experienced Data Engineer to design, build, and maintain ETL/ELT pipelines and data quality processes for our clients' cloud data platforms. You will work primarily across Snowflake and AWS, integrating with tools like Informatica to keep data accurate, reliable, and analytics-ready.
Responsibilities
- Design, build, and maintain ETL/ELT pipelines across Snowflake and AWS data platforms
- Develop and manage data integration workflows using Informatica
- Implement and monitor data quality (DQ) checks and validation rules across pipelines
- Optimize pipeline performance, reliability, and cost across cloud data infrastructure
- Troubleshoot data pipeline failures and resolve data quality issues
- Collaborate with analytics and business teams to ensure data is accurate and analytics-ready
- Document data pipeline architecture, DQ rules, and integration workflows
Requirements
- 6+ years of experience in data engineering and ETL/ELT pipeline development
- Hands-on experience with Snowflake and AWS data services (S3, Glue, Redshift, or similar)
- Experience with Informatica for data integration and transformation
- Strong background in data quality (DQ) frameworks, validation, and monitoring
- Proficiency in SQL and at least one scripting language (Python preferred)
- Experience with pipeline orchestration tools (e.g., Airflow) is a plus
- Strong communication and documentation skills