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About the role
AWS Data Engineer - Python & Snowflake Required Skills Strong hands-on experience in data engineering, ETL/ELT development, and large-scale data pipeline design. Experience with AWS Glue, PySpark, Python, SQL, and cloud-based data processing. Strong experience working with Snowflake as a data warehouse or enterprise data platform. Good understanding of usage-based billing, rating engines, invoice feeds, or financial data processing. Experience building data quality checks, reconciliation frameworks, audit controls, and exception handling processes. Hands-on experience with CI/CD tools such as GitHub Actions, GitLab CI, Jenkins, AWS Code Pipeline, or similar. Strong SQL skills for data analysis, validation, troubleshooting, and performance optimization. Experience working with batch and event-driven data ingestion patterns. Understanding of data modelling, partitioning, performance tuning, and cost optimization
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