Data Engineer

Key Responsibilities:

Data Pipeline Development & Cloud Engineering

• Design, build, and maintain cloud-native data pipelines using PySpark, Databricks, and SQL
• Develop and optimize data models and transformations on Snowflake and BigQuery
• Implement data orchestration using Airflow, Cloud Composer, or dbt
• Work with Azure services including Data Factory, Synapse, and ADLS
• Work with GCP services including GCS and BigQuery

Healthcare Data Handling

• Handle and process healthcare data formats such as FHIR, HL7, claims, and EMR
• Ensure data quality, performance, security, and compliance

DevOps & Automation

• Implement CI/CD pipelines and DevOps best practices for data engineering
• Utilize containerization and orchestration tools like Docker, Kubernetes, and Terraform
• Collaborate with cross-functional teams and mentor junior engineers