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Open nowPosted 234 days ago

Senior Data Platform Administrator – ETL & Data Lakes

Nexus Corporation224 open roles

Where
Tokyo
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Your applicationOpen nowSenior Data Platform Administrator – ETL & Data LakesNexus Corporation · Tokyo

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: posted 234 days ago

The posting

Role Summary Supports and optimizes ETL processes and data lake environments to ensure reliable data integration, processing, and analytics capabilities. Focuses on resolving complex technical issues, maintaining data pipeline performance, and supporting cloud-based data platforms. Key Responsibilities Provide advanced technical support by analyzing and troubleshooting complex incidents related to ETL processes and data lake operations. Perform root cause analysis for escalated issues and implement solutions to address technical or security challenges in cloud environments. Support and maintain data pipelines ensuring seamless data integration and performance optimization. Collaborate with cross-functional teams to ensure reliable data movement across platforms. Monitor and maintain cloud-based data infrastructure including analytics and database platforms. Maintain knowledge base documentation and operational procedures. Support onboarding and training of new team members on ETL tools and cloud analytics services. Resolve complex support tickets in alignment with service level agreements (SLAs). Contribute to high levels of customer satisfaction through efficient issue resolution. Required Skills & Experience Strong understanding of ETL processes and data pipeline architecture. Experience working with data lakes and large-scale data processing environments. Knowledge of AWS core services including AWS RDS and analytics tools. Familiarity with database technologies and data integration workflows. Experience with at least one scripting language. Strong troubleshooting and root cause analysis skills. Excellent written and verbal communication skills. Understanding of security and compliance best practices. Education & Experience Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field. 5–7 years of relevant experience in data platform operations, ETL support, or data engineering environments. Preferred Certifications AWS Certified Solutions Architect – Associate AWS Certified Data Analytics – Specialty

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