Hadoop Administrator

Job Description

The Senior Hadoop Admin for the Enterprise Data Platforms Advanced Analytics team drives enterprise-wide capacity management, resource optimization, and data platform insights by building analytics solutions within the Enterprise Data Warehouse and enterprise data lake ecosystem. This role will contribute to building a single source of truth for capacity data, developing scalable data models, automating reporting, and enabling data-driven decision-making for storage, compute, onboarding demand, and platform hygiene initiatives across enterprise platforms.

Success in this role requires a highly proactive, self-motivated individual who can work independently and demonstrates deep Hadoop architectural expertise, including HDFS, FSImage analysis, Ozone, Hive, Impala, YARN, compute resource analysis, API-driven data integration, and the ability to develop pragmatic solutions. A lead-level professional with a strong sense of ownership, results-oriented mindset, and the ability to independently drive complex initiatives to successful outcomes with minimal guidance.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

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• 7+ years of experience working as a Hadoop Admin in an enterprise environment
• Strong scripting skills with Shell or Python
• Hands-on experience developing API-driven ETL pipelines and interpreting API data
• Strong understanding of Hadoop engineering and interpreting enterprise-level metrics Experience with capacity management analytics and resource utilization
• Any cloud experience