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Accountabilities:
- Design and build scalable, fault-tolerant data pipelines that transform raw data sources into trusted, well-documented datasets.
- Develop and maintain batch and streaming data architectures to support reliable data processing at enterprise scale.
- Own data quality, observability, and reliability by implementing monitoring, alerting, testing, and documentation practices.
Requirements:
- 6+ years of software engineering experience with significant exposure to data architecture or system design.
- Proven experience designing complex data models and large-scale data platform development.
- Strong programming skills in Python, Java, or Scala with solid software engineering fundamentals.
Benefits:
- Fully remote work opportunity for India-based candidates.
- Opportunity to build foundational data systems supporting analytics and AI innovation.
- Exposure to modern data engineering practices, scalable architectures, and Generative AI technologies.
Unknown
The partner company is a technology organization focused on building enterprise data infrastructure for analytics and AI. They foster a remote-first culture with a collaborative engineering environment and emphasis on professional growth.