
Building Scalable Data Solutions
18 hours ago
The successful candidate will be responsible for designing and building robust, scalable data pipelines across various platforms and sources.
- Drive the entire lifecycle of designing and building robust, scalable data pipelines across diverse platforms and sources.
- Enhance the data infrastructure to ensure optimal performance, reliability, and scalability.
- Perform in-depth 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 ideal candidate should possess a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, and 5+ years of hands-on experience in data engineering or backend data systems development.
Key responsibilities include:
- 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
This role offers a competitive salary range, guaranteed 13th month pay, HMO coverage upon regularization, and additional allowances to support personal and professional needs.
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