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Data Engineer Snowflake / AWS - UST
Data Engineer
Lead end‑to‑end data pipeline development using Snowflake and AWS, designing scalable ETL processes, data models, and ensuring data quality for enterprise analytics.
About the role
Key Responsibilities
- Design, build, and maintain scalable data pipelines on Snowflake and AWS services (S3, Glue, Redshift, Lambda).
- Develop and optimize ETL workflows using Python, SQL, and Airflow, ensuring high performance and reliability.
- Collaborate with data scientists and business analysts to define data models, schemas, and data quality rules.
- Implement data governance, security, and compliance best practices across the data platform.
- Monitor pipeline health, troubleshoot issues, and continuously improve data ingestion and transformation processes.
Requirements
- 3+ years of experience as a Data Engineer with hands‑on Snowflake and AWS.
- Strong proficiency in SQL, Python, and ETL tooling (Airflow, dbt).
- Experience designing data models, star/snowflake schemas, and data warehousing concepts.
- Knowledge of data governance, security, and compliance frameworks.
- Excellent problem‑solving skills and ability to work collaboratively in a fast‑paced environment.
Skills
snowflakeawssqlpython