successfactors

Senior Associate | Engineering, AI & Data - Engineering | Hadoop (Mumbai, IN)

Deloitte US | Together Makes Progress

Mumbai, IND

Full-time

Senior

Onsite

Discovered 3 weeks ago

HadoopHDFSYARNHiveSparkAzkaban

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The team

Engineering helps Reimagine and re-engineer mission-critical operations and processes; Leverage engineering-led design, deep industry knowledge, and AI and data-driven insights to transform the technology platforms at the heart of business.

Working alongside team, we empower and drive mission-critical solutions whether we need to modernize existing systems or implement new technology products and platforms. Through innovation, we improve financial performance, accelerate new digital businesses and fuel growth. Learn more about Engineering, AI and Data

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Responsible for managing and supporting the Hadoop data ecosystem, including cluster administration, performance optimization, and workflow orchestration using Azkaban.

Key skills required

Education - Any Bachelor’s or Master’s degree
Administer and maintain Hadoop cluster (HDFS, YARN, Hive, Spark, etc.)
Monitor cluster health, performance, and storage utilization
Manage user access, security (Kerberos), and data governance
Design, schedule, and manage workflows using Azkaban
Handle job orchestration, dependencies, and failure recovery
Monitor job execution, troubleshoot failures, and ensure SLA adherence
Support development and production issues (L2/L3) related to data pipelines
Perform capacity planning, patching, upgrades, and system tuning
Ensure high availability, backup, and disaster recovery readiness
Maintain documentation, runbooks, and operational processes

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Senior Associate | Engineering, AI & Data - Engineering | Hadoop (Mumbai, IN)

Job Fit Check

Key Skills for This Role

Full Job Posting

The team

Your work profile

Key skills required

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