Senior Healthcare Data Engineer
New
Poland - Remote, 5 days per weekFull-TimeSenior
Salary27,300 - 33,600 PLN per month
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Job Details
- Languages
- Fluent in English
- Experience
- At least 6 years of professional experience in data engineering
- Required Skills
- PythonSQLApache AirflowGit
Requirements
- At least 6 years of professional experience in data engineering, preferably in healthcare or related industries.
- Strong proficiency in Python (3.12+), with modern data libraries for transformation and processing.
- Hands-on experience with AWS data infrastructure, including S3, Athena, IAM, and Glue.
- Advanced SQL skills, capable of handling large datasets with complex queries, window functions, and cohort analysis.
- Proven ability to develop and optimize production-grade data pipelines processing billions of rows.
- Familiarity with Git workflows, code reviews, and comprehensive documentation practices.
- Experience merging disparate healthcare data sources, managing high data quality, and building analytical datasets.
Responsibilities
- Design and build production ETL/ELT pipelines from diverse healthcare data sources into AWS S3 data lakes and warehouses.
- Implement batch workflows with orchestration, error handling, retries, and lineage tracking to ensure reliable data delivery.
- Develop Python-based data processing jobs utilizing modern libraries to merge, transform, and normalize healthcare datasets.
- Optimize AWS data stack components, including S3, Athena, IAM, and Glue, for cost efficiency and performance.
- Manage large healthcare datasets such as claims, patient records, referrals, and clinical information, ensuring data quality and integrity.
- Write and optimize complex SQL queries for analytical and cohort analysis, hospital performance metrics, and patient segmentation.
- Maintain data quality through validation, anomaly detection, schema enforcement, and automated validation pipelines.
- Monitor and enhance pipeline throughput, memory efficiency, and cloud query cost management.
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