AWS with Azure Data Engineer

Below is the JD.

Data Pipeline & Platform Development

Design, develop, and maintain scalable ETL/ELT data pipelines using AWS Glue, dbt, and Airflow/Astronomer, AWS healthlake

Build and optimize data warehousing solutions using Snowflake, including schema design, performance tuning, and cost optimization.

Should have knowledge or willing to learn Azure data pipelines

Data Quality & Validation

Implement and manage data validation frameworks (e.g., dbt tests, custom Python validations, etc).

Establish and automate data quality checks, anomaly detection, schema validation, and reconciliation processes.

Ensure data accuracy, completeness, timeliness, and alignment with healthcare regulatory standards.

Data Governance & Compliance

Work with HIPAA-compliant processes to ensure PHI/PII protection.

Maintain metadata, lineage, and data documentation in alignment with governance best practices