Enterprise Big Data Management Specialist

7 days ago

Pune, Maharashtra, India beBeeOperations Full time ₹ 90,00,000 - ₹ 1,20,00,000

Job Title: Enterprise Big Data Operations Lead

Job Summary:

The ideal candidate for this role will be responsible for leading the central operations of our Cloudera Datalake Platform, Enterprise data warehouse Appliance, and Hadoop IPDR platform services. This includes ensuring critical deliveries to business users, nodal, and law enforcement agencies, as well as managing and ensuring availability of Hadoop & Cloudera platform services with timely and accurate delivery of critical KPIs.

Key Responsibilities:

  • Oversee the operational excellence of a cutting-edge portfolio comprising of 4 large Big Data clusters from Hadoop & Cloudera, IBM's Enterprise data warehouse, and new age tools HBase, Hive, Apache, Kafka, and Spark.
  • Ensure adherence to 10 critical IT SLAs while processing 10+ trillion CDRs daily, leading to 100+ business, regulatory, and nodal KPIs.
  • Manage a team of approximately 75 resources, driving multi-partner governance to drive service improvements and ensure compliance with service guarantees.
  • Drive excellence initiatives through automation to bring in operational efficiency, leveraging AI, ML, RPA, etc., technologies to streamline operations, reduce MTTR, process improvements, and foster cost efficiency and business benefits.

Requirements:

  • Experienced technologist with around 12 years of experience in managing Hadoop and Cloudera Big Data technologies.
  • Proven track record of managing production environments, including high availability, SLAs, KPI monitoring, performance optimization, real-time ingestions, and data model management.
  • Expertise in driving automation initiatives for incident reduction, process optimization, high availability through cutting-edge technologies, fostering an environment of continuous improvement.
  • Proficient in analytical, independent thinking with a strong technological background, skilled in managing application operations, incident & problem management, good knowledge of capacity planning and performance management.

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