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Tier-1 brand, mid-level cloud/devops title, and 3-5 year range increases candidate competition.
Medium because cloud and data-pipeline skills transfer across industries but require specific Databricks expertise.
Moderate strictness due to explicit 3-5 year requirement and mandatory cloud/Databricks/DevOps skills.
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Own stability, scalability, and performance of cloud-based batch data pipelines and Databricks workloads.
Monitor, maintain, and optimize cloud data pipelines focusing on operational excellence and cost reduction.
Improve operational processes including incident handling, performance monitoring, and infrastructure fine-tuning.
3-5 years of experience in cloud infrastructure and DevOps.
Strong understanding and hands-on experience with cloud-based data pipelines, Databricks, Lakehouse architecture.
Proficiency with datapipe orchestration tools such as Azure Data Factory, command-line scripting (PowerShell), and CI/CD pipelines.
Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related field.
Experienced in managing and optimizing Databricks workloads and cloud infrastructure for cost and performance efficiency.
Capable of proactive incident management and root cause analysis in complex cloud environments.
Effective communicator with experience collaborating across cross-functional and international teams.