Data Engineer II leading development and delivery of data pipelines for Syneos Health. Collaborating with teams to optimize data processing and integrate solutions into production environments.
About the role
- Data Engineer II developing scalable data solutions for GSK's research platform. Collaborating on modular code and ensuring compliance with best practices in data engineering and software development.
Responsibilities
- Builds modular code / libraries / services / etc using modern data engineering tools (Python/Spark, Kafka, Storm, …) and orchestration tools (e.g. Google Workflow, Airflow Composer)
- Produces well-engineered software, including appropriate automated test suites and technical documentation
- Develop, measure, and monitor key metrics for all tools and services and consistently seek to iterate on and improve them
- Ensure consistent application of platform abstractions to ensure quality and consistency with respect to logging and lineage
- Fully versed in coding best practices and ways of working, and participates in code reviews and partnering to improve the team’s standards
- Adhere to QMS framework and CI/CD best practices
- Provide L3 support to existing tools / pipelines / services
Requirements
- Bachelor’s degree in Data Engineering, Computer Science, Software Engineering, or a related discipline
- 4+ years of Data engineering Experience
- Software engineering experience
- Familiarity with orchestrating tooling
- Cloud experience (GCP, Azure or AWS)
- Experience in automated testing and design
Benefits
- health care and other insurance benefits (for employee and family)
- retirement benefits
- paid holidays
- vacation
- paid caregiver/parental and medical leave
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