Work on big data challenges for clients using Databricks platform.
Deliver data engineering, data science, and cloud projects with client training.
Design reference architectures and productionize customer use cases.
Scope professional services with engagement managers and customers.
Guide end-to-end design, build, and deployment of data/AI apps.
Provide escalated support for customer issues and coordination.

🎯 Requirements

9+ years in data engineering, data platforms & analytics.
Comfortable coding in Python or Scala.
Cloud experience in two ecosystems (AWS/Azure/GCP), expert in one.
Deep Apache Spark experience and runtime internals.
CI/CD for production deployments and MLOps.
End-to-end data architectures; scalable streaming/batch solutions.

🎁 Benefits

Comprehensive benefits and perks.
Commitment to diversity and inclusion.
Equal employment opportunity in hiring practices.

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