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About the role
Experience: 1-3 years | Location: Bangalore | IMMEDIATE JOINING | Product exposure Join a high-impact enterprise data engineering team building scalable Azure-based data platforms that power analytics, reporting, and large-scale data transformation initiatives . Why This Role Matters This role demands a mix of operational excellence, technical understanding of big data frameworks, and strong debugging capabilities to efficiently handle L1/L2 technical support challenges. What You'll Do Monitor, maintain, and support large-scale, high-throughput data streaming pipelines. Act as the primary point of contact for L1/L2 support issues related to data pipelines. Perform initial analysis and debugging of production issues by reviewing logs and identifying root causes. Conduct first-level Root Cause Analysis (RCA) for production outages, implementing permanent fixes or workarounds while collaborating with engineering teams. Core Technical Requirements Technical Experience 1–3 years of professional experience in DevOps, Platform Engineering, or Application Support, with a focus on big data ecosystems. Big Data Frameworks Hands-on experience with Apache Spark, Apache Flink, and YARN. Debugging Skills Strong ability to read, analyze, and debug code written in Java or Scala. Linux & Scripting Strong command of Linux/Unix environments with proficiency in Shell scripting or Python for operational automation.
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