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Summary:
- As a Senior Data Engineer, you will design, build, and support core systems that power our data platform.
- You will create scalable data pipelines, self-service tools, and governance solutions that ensure trusted data.
Responsibilities:
- Design and build scalable data pipelines to ingest, transform, and curate data from APIs, databases, and event streams.
- Develop and optimize advanced data models (dimensional, data vault, domain-driven) to support analytics and BI.
- Champion SDLC best practices, continuous delivery, and infrastructure automation using CI/CD and Infrastructure as Code.
Requirements:
- 5 to 7+ years of experience in data engineering or a related technical field.
- Expertise in SQL and advanced proficiency in Python, with strong experience in distributed data processing.
- Extensive hands-on experience building pipelines and workflows in Databricks (Delta Lake, Spark, Unity Catalog).
Nice to Have:
- DataOps experience with pipeline observability, monitoring, and automated quality.
- Knowledge of metadata management platforms like Purview, Collibra, or Alation.
Resilient Co.
Resilient Co. is a technology company that builds data platforms to enable data-driven decisions. The company fosters a culture of collaboration and technical excellence with a team of experienced engineers.