
Senior Data Engineer
2 days ago
- Fully Remote Work
- Competitive work compensation and benefits
About Our Client
A growing healthcare-focused organization delivering technology-enabled clinical services to support better patient care and operational efficiency across various care settings.
Job Description
- Drive the full lifecycle of designing and building scalable, high-performance data pipelines across diverse platforms and data sources.
- Enhance data infrastructure to ensure optimal performance, reliability, and scalability.
- Perform detailed code reviews and offer feedback to uphold best practices and high coding standards.
- Support the development of other data engineers through mentoring and technical guidance.
- Work closely with cross-functional teams to gather data needs and deliver effective engineering solutions.
- Resolve complex data challenges, ensuring data integrity, availability, and consistency.
The Successful Applicant
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- 5+ years of hands-on experience in data engineering or backend data systems development
- Data Pipeline Orchestration and Workflow Management
- Apache Airflow: Popular for scheduling and monitoring complex data pipelines.
- Prefect: Modern orchestration tool gaining adoption.
- Apache NiFi, Talend, AWS Glue, Azure Data Factory: ETL tools for data integration and transformation
- DataDog or similar tools for tracking and monitoring data pipelines
- DevOps and CI/CD Tools: Docker, Git, CircleCI (or other CI/CD pipelines) for containerization, version control, and automated deployments
- Experience in building data solutions at enterprise scale
What's on Offer
- Full Remote Work set-up
- A competitive salary range
- Guaranteed 13th month pay
- HMO Coverage upon regularization
- Technical tools are provided
- Additional allowances to support personal and professional needs.
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