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Building Scalable Data Pipelines
3 weeks ago
The Data Acquisition Team serves as the entry point to a comprehensive data platform responsible for ingesting, validating, and orchestrating raw data from multiple internal systems and third-party providers.
As an Engineer, you'll play a key role in designing and building robust, scalable, and extensible pipelines that feed the entire data ecosystem.
You'll work across various data domains and ingestion patterns—batch, streaming, and event-driven—while ensuring quality, performance, and governance are embedded in every step.
Our organization is undergoing a major data platform transformation—and this team builds the foundation. Every pipeline you create contributes directly to powering analytics, automation, and product intelligence across all business domains.If you're passionate about scaling data platforms from the ground up, this is your chance to help shape how we ingest and leverage our most valuable asset: data.
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 across business units.
Ensure traceability, lineage, and security through integration with control plane and governance systems.
Participate in code reviews, design sessions, and incident resolution—promoting high standards for code quality and operational reliability.
