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Tier-1 brand, common DevOps title, mid-level experience range, and metro location increase applicant competition.
Core DevOps skills are transferable, but Databricks/Lakehouse focus increases domain specificity moderately.
Explicit 3–5 years requirement plus mandatory cloud, Databricks, IAC, and CI/CD skills raises shortlisting strictness.
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Own stability, scalability, and performance of cloud-based batch data pipeline solutions.
Monitor and maintain data pipelines, optimize Databricks workloads for efficiency and cost reduction.
Analyze and fine-tune cloud infrastructure for cost optimization and improve operational incident handling processes.
3-5 years of experience in cloud infrastructure and DevOps.
Experience working with Databricks, Lakehouse architecture, and batch data pipelines in a cloud environment.
Proficient with command-line scripting (e.g., PowerShell), data pipeline orchestration tools (e.g., Azure Data Factory), and CI/CD pipelines.
Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related field.
Experienced in managing and optimizing cloud-based data pipelines with strong operational excellence focus.
Capable of cross-functional communication and coordination across international teams.
Demonstrates strong problem-solving skills and proactive incident management in cloud infrastructure environments.