Data Engineer

Location: PAN India/ Remote Years of Experience: 8-12 Years 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.