Data Engineer (Senior)
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DynatraceInnovate faster, operate more efficiently, and drive better business outcomes with observability, AI, automation, and application security in one platform.
Dynatrace provides software intelligence to simplify cloud complexity and accelerate digital transformation. With automatic and intelligent observability at scale, our all-in-one platform delivers precise answers about the performance and security of applications, the underlying infrastructure, and the experience of all users to enable organizations to innovate faster, collaborate more efficiently, and deliver more value with dramatically less effort. That’s why many of the world’s largest organizations trust Dynatrace®️ to modernize and automate cloud operations, release better software faster, and deliver unrivaled digital experiences.
Use state-of-the-art technologies to acquire, ingest, store, and transform big datasets from multiple sources.
Understand business requirements and translate them into proper database modelling.
Maintain and improve solutions in production.
Manage scalability, error recovery, monitoring, alerting and security.
Develop functional and unit tests in the deployment pipeline.
Create and manage conceptual, logical, and physical data models.
At least five years of experience in Data Engineering (ideally applied to BI systems).
Strong expertise in SQL, Python, Terraform, and other programming languages.
Proven ability to optimize data pipelines supporting real-time client-facing applications (dashboarding, reporting and apps).
The working language of Dynatrace is English.
It is a remote job, but we have offices acrossd EMEA.
We're an equal-opportunity employer. Don't hesitate to apply!
* Salary range is an estimate based on our salary survey 💰
Tags: Data pipelines Engineering Pipelines Python Security SQL Terraform
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