Data Analyst Engineer
Job Summary
To support healthcare data initiatives, the full-time Data Analyst Engineer will design and maintain ETL processes, manage data pipelines using Airflow, and implement data quality checks while working remotely.
Key responsibilities
- Design, develop, and maintain ETL processes for data ingestion and transformation
- Utilize workflow orchestration tools to manage and optimize data pipelines
- Analyze data for trends and implement data quality checks to ensure accuracy and consistency
Required qualifications
- Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field (Master's preferred)
- 3+ years of experience in data engineering or ETL development, preferably in healthcare
- Proficiency in SQL, Python, and Spark for data transformation and analysis
- Experience with workflow orchestration tools like Apache Airflow
- Strong knowledge of ETL processes and cloud-based data solutions (AWS, GCP, or Azure)
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