Data Pipeline Developer
Systematix group
About the role
About
Drive data transformation initiatives as a Data Pipeline Developer specializing in Python and AWS. Support health data processes with quality solutions tailored for evidence-based decision-making.
This role emphasizes your ability to design, implement, and troubleshoot data processing solutions using cutting-edge technologies. Collaborating closely with technical teams, you will enhance automated data acquisition and integrity, ensuring that the necessary data reaches analysts promptly and accurately throughout the public health framework.
Apply your data engineering skills to facilitate impactful public health data solutions that resonate across analytical frameworks.
Key Responsibilities
- Implement data pipelines using AWS services and Python
- Develop solutions for automated data acquisition and processing
- Design efficient data models for storage
- Accelerate delivery by creating reusable components
- Review existing code to ensure quality outcomes
Requirements
- Solid background in Python, pandas, and pyspark
- Familiarity with AWS services, including Glue and Lambda
- Proven ETL/ELT development experience
- Strong SQL skills and data modeling capability
- Experience supporting and mentoring team members
Skills
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