AWS Data Engineer
Job Summary
Leading complex data engineering initiatives, the full-time AWS Data Engineer will design, build, and optimize resilient data pipelines using PySpark and Python, while implementing cloud-based solutions on AWS in a hybrid work environment.
Key responsibilities
- Lead the design and optimization of data pipelines for analytics and reporting needs
- Oversee the implementation of cloud-based data solutions, ensuring alignment with enterprise standards
- Collaborate with cross-functional teams to support data quality and drive analytics initiatives in healthcare
Required qualifications
- 9 to 12 years of experience in data and cloud projects, particularly with PySpark and Python
- Advanced proficiency with AWS services and strong expertise in Databricks and Snowflake
- Knowledge of payer domain to interpret healthcare data effectively
- Experience in managing hybrid work environments and collaboration tools
- Preferred certifications include AWS Certified Data Analytics Specialty and Databricks Data Engineer Associate
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