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Bigdata Support Lead Engineer

India, Bengaluru · Job Posted November 18, 2025
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Job Description

The Lead Data Analytics analyst is responsible for managing, maintaining, and optimizing on-premises and cloud-based big data infrastructure. The individual should have expertise in administering big data platforms, ensuring high availability, performance, and security of data systems, and supporting data engineering and analytics teams. This role requires hands-on experience with both on-premises big data technologies (e.g., Hadoop, Spark) and cloud-based platforms (e.g., AWS, Azure, GCP).

Job Responsibility

  • Lead day to day operation and support for Cloudera Hadoop ecosystem components (HDFS, YARN, Hive, Impala, Spark, HBase, etc)
  • Troubleshoot issues related to data ingestion, job failures, performance degradation and service unavailability
  • Monitor cluster health using Cloudera Manager and respond to alerts, logs, and metrics
  • Collaborate with engineering teams to analyze root causes and implement preventive measures
  • Collaborate patching, service restarts, failovers and rolling restarts for cluster maintenance
  • Assist in user onboarding, access control and issues in accessing the cluster services
  • Contribute to documentation for knowledge base
  • Work on data recovery, replication, and backup support tasks
  • Responsible for moving all legacy workloads to cloud platform
  • Ability to research and assess open-source technologies, public cloud tech stack (AWS/GCP) components to recommend and integrate into the design and implementation
  • Be the technical expert and mentor other team members on Big Data and Cloud Tech stacks
  • Define needs around maintainability, testability, performance, security, quality and usability for data platform
  • Drive implementation, consistent patterns, reusable components, and coding standards for data engineering processes
  • Tune Big data applications on Hadoop and non-Hadoop platforms for optimal performance
  • Evaluate new IT developments and evolving business requirements and recommend appropriate systems alternatives and/or enhancements to current systems
  • Applies in-depth understanding of how data analytics collectively integrate within the sub-function
  • Produces detailed analysis of issues where the best course of action is not evident
  • Supervise day-to-day staff management issues, including resource management, work allocation, mentoring/coaching
  • Appropriately assess risk when business decisions are made

Requirements

  • 10+ years of total IT experience
  • 5+ years of experience in supporting Hadoop (Cloudera)/big data technologies
  • 5+ years of experience in public cloud infrastructure (AWS or GCP)
  • Experience with Kubernetes and cloud-native technologies
  • Experience with all aspects of DevOps (source control, continuous integration, deployments, etc.)
  • Advanced knowledge of the Hadoop ecosystem and Big Data technologies
  • Hands-on experience with the Hadoop eco-system (HDFS, MapReduce, Hive, Pig, Impala, Spark, Kafka, Kudu, Solr)
  • Knowledge of troubleshooting techniques for Hive, Spark, YARN, Kafka, and HDFS
  • Advanced Linux system administration and scripting skills (Shell, Python)
  • Experience on designing and developing Data Pipelines for Data Ingestion or Transformation using Spark with Java or Scala or Python
  • Expert level building pipelines using Apache Spark
  • Familiarity with core provider services from AWS, Azure or GCP
  • Hands-on experience with Python/Pyspark/Scala
  • System level understanding - Data structures, algorithms, distributed storage & compute
  • Possess team management experience and have led a team of data/platform engineers and analysts
  • Bachelor's degree/University degree or equivalent experience

Nice to have

Experience in Snowflake or Delta lake

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