





Large telecom brand and Pune metro increase applicant density, while niche Cloudera/Hadoop expertise moderates competition.
Deep Big Data platform and cluster operations expertise is required, limiting easy cross-industry transfers.
Explicit 8+ years requirement plus mandatory Cloudera/Hadoop production ops skills and SLA ownership enforces strict filters.
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Manage development lifecycle activities and ensure end-to-end delivery planning for IPDR and Legal applications on Cloudera Data Platform.
Oversee central operations of Legal and IPDR platforms ensuring timely, accurate delivery of Voice, SMS, GPRS CDRs and IPDRs for nodal and law enforcement agencies, maintaining 7 critical IT SLAs processing 8+ trillion CDRs daily.
Lead multi-partner governance, drive operational excellence initiatives including automation with AI/ML/RPA, and manage a team of approximately 10 resources to ensure high service availability and compliance with SLAs.
8 to 10+ years of experience managing Hadoop Big Data technologies (Hortonworks, Cloudera) and production environment handling high availability and SLA adherence.
Proficient with Cloudera Manager, CDP cluster tuning, MapReduce, Kafka, Kerberos, Impala, HDFS, HBase, Hive, Kudu, Spark, Ice Berg, Yarn, Ozone, and big data file formats like Parquet, ORC, AVRO.
Knowledge of DevOps lifecycle, ITIL, Agile methodologies, service management, and experience in application operations including incident and problem management.
Work Experience Required: 8 to 10+ years in relevant big data and operations roles; Notice Period: Not explicitly mentioned in the JD.
Experienced technologist with deep expertise in managing large-scale big data platforms and multi-partner governance in telecom domain.
Skilled in operational excellence and automation initiatives leveraging AI, ML, and RPA to optimize service delivery and reduce incident resolution times.
Strong stakeholder management and communication skills to align cross-functional teams and ensure compliance with stringent SLAs in a high-volume data processing environment.