
Data Pipeline Architect
2 days ago
We are seeking a skilled Data Engineer to join our team and drive the full lifecycle of designing and building scalable, high-performance data pipelines across diverse platforms and data sources.
- Develop, implement, and maintain complex data infrastructure to ensure optimal performance, reliability, and scalability.
- Collaborate with cross-functional teams to gather data needs and deliver effective engineering solutions.
- Analyze complex data challenges, ensuring data integrity, availability, and consistency.
The successful candidate will have a Bachelor's or Master's degree in Computer Science, Engineering, or related field, and 5+ years of hands-on experience in data engineering or backend data systems development.
Key skills include:
- Data pipeline orchestration and workflow management using Apache Airflow, Prefect, and other tools.
- ETL tool expertise using Apache NiFi, Talend, AWS Glue, and Azure Data Factory.
- Experience with DevOps and CI/CD tools such as Docker, Git, and CircleCI.
- Data monitoring and tracking using tools like DataDog.
- Ability to build data solutions at enterprise scale.
What we offer:
- A competitive salary range.
- Guaranteed 13th month pay.
- HMO coverage upon regularization.
- Technical tools provided.
- Additional allowances to support personal and professional needs.
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