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.