
Data Pipeline Architect
12 hours ago
We are seeking an experienced Senior Data Engineer to design and build high-performance data pipelines.
The ideal candidate will be responsible for driving the full lifecycle of designing and building scalable data pipelines across diverse platforms and data sources.
Main Responsibilities:
- Design and Build Data Pipelines: Develop efficient and reliable data pipelines that meet business needs.
- Enhance Data Infrastructure: Optimize data infrastructure for optimal performance, scalability, and reliability.
- Code Reviews and Mentoring: Perform code reviews, offer feedback, and provide technical guidance to junior engineers.
- Cross-functional Collaboration: Work closely with cross-functional teams to deliver effective engineering solutions.
Requirements:
- 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.
- Experience in building data solutions at enterprise scale.
- Proficiency in tools such as Apache Airflow, Prefect, Apache NiFi, Talend, AWS Glue, Azure Data Factory, and DataDog.
- Experience with DevOps and CI/CD Tools such as Docker, Git, and CircleCI.
We Offer:
- Full remote work setup.
- Competitive salary range.
- Guaranteed 13th month pay.
- HMO coverage upon regularization.
- Technical tools provided.
We are looking for a talented and experienced Senior Data Engineer to contribute to our team. If you have a passion for data engineering and want to grow your skills, we encourage you to apply.
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