Transforming Data Pipelines into Business Success
2 weeks ago
We are seeking a highly skilled Data Engineer to join our team. As a Data Engineer, you will play a key role in designing and building robust, scalable, and extensible pipelines that feed the entire data ecosystem.
You will work across multiple data domains and ingestion patterns—batch, streaming, and event-driven—while ensuring quality, performance, and governance are embedded in every step.
This role requires a strong understanding of data integration and ingestion pipelines, as well as experience with data platforms and infrastructure.
Key Responsibilities- Design and build high-performance data acquisition pipelines that integrate with a variety of systems.
- Contribute to the development of a modular ingestion platform that enables reusability, reliability, and observability at scale.
- Implement core pipeline components such as schema validation, transformation orchestration, error handling, and audit logging.
- Support batch and streaming ingestion flows, ensuring the platform meets varying latency and volume requirements.
- Ensure traceability, lineage, and security through integration with control plane and governance systems.
- 4–8 years of experience as a software or data engineer, ideally in high-volume or distributed systems environments.
- Strong programming skills in Python, Java, Scala, or another systems-focused language.
- Experience with data integration and ingestion pipelines—you understand what it means to bring data in from source systems, transform it, and deliver it reliably downstream.
- Solid grasp of engineering fundamentals, including version control, modular design, testing, and performance tuning.
- Familiarity with concepts like schema evolution, event-driven architectures, observability, and role-based access control.
- A collaborative mindset—comfortable working across domains, products, and infrastructure layers.
A strong sense of ownership and accountability—you care deeply about building systems that last.
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