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Key skills for this role
· Outstanding programming experience, preferably in Python; ability to write clean, testable, production-grade code; able to write clean, testable, production-grade code
· Strong SQL skills and familiarity with structured and semi-structured data formats (JSON, Protobuf, Delta format)
· Hands-on experience with Apache Spark, ideally on Databricks, and understanding of the medallion architecture
· Solid grasp of data lakehouse principles, data modeling, and data governance concepts
· Experience building and maintaining CI/CD pipelines (e.g. GitLab CI); familiarity with IaC and deployment
· Cloud Platforms: Experience with AWS or comparable cloud providers; familiarity with Databricks as a managed Lakehouse platform
· Experience with event-driven architectures or streaming platforms (e.g. Kafka)
· Proven track record deploying, monitoring, and maintaining data pipelines and services in production environments; experience with testing practices
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· Able to work autonomously and take ownership of tasks end-to-end
· Clear and concise communicator — comfortable working across engineering and data teams
Global manufacturer of pumps, valves, and related industrial services.
Visit company websiteJobs and hiring trendsFull-time
Mid
Onsite
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