SMA Solar
SMA Solar
SMA Solar नवीकरणीय ऊर्जा उत्पादन और आधुनिक विद्युत अवसंरचना के लिए फोटोवोल्टिक प्रणाली प्रौद्योगिकी विकसित और निर्मित करती है। इसका कार्य सौर उत्पादों और ऊर्जा समाधानों तक फैला है, जिन्हें अधिक टिकाऊ बिजली आपूर्ति में सहयोग देने के लिए तैयार किया गया है। 20 देशों में 3,000 से अधिक कर्मचारियों वाली वैश्विक टीम के साथ, कंपनी ऊर्जा, विनिर्माण और लॉजिस्टिक्स की विशेषज्ञता को एकजुट करती है और स्वच्छ ऊर्जा प्रौद्योगिकी को आगे बढ़ाने में रुचि रखने वाले पेशेवरों के लिए अवसर पैदा करती है।

Senior Big Data Administrator and Development Engineer – SMA Solar, Bangalore Onsite

Administer Hadoop, Kafka, and Druid clusters for SMA Solar’s renewable-energy technology operations. Automate data workflows and optimize secure, on-premise infrastructure.

विवरण

  • Maintain stable, secure, and efficient on-premise Big Data environments
  • Administer and optimize Hadoop, Kafka, and Druid clusters
  • Proactively monitor system health and performance
  • Implement and maintain monitoring and alerting solutions, including Cloudera Manager and Splunk
  • Manage role-based access, encryption, and compliance controls
  • Build ETL workflows, data transfers, and analytical pipelines with SQL, NiFi, Python, or Spark
  • Partner with cross-functional teams on architecture, upgrades, and technology assessments
  • Strengthen the scalability, reliability, and performance of data infrastructure
  • Support automation, platform optimization, and strategic architecture decisions

आवश्यकताएँ

  • At least 8 years of practical experience administering on-premise Hadoop, Kafka, and Druid clusters
  • Demonstrated enterprise experience with HDFS, Hive, Spark, Hue, and NiFi
  • Advanced SQL skills, including query tuning and performance optimization
  • Strong Linux administration knowledge and understanding of cluster maintenance practices
  • Experience automating operations with Ansible, Python, Bash, or similar scripting tools
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline preferred
  • Background developing ETL pipelines and connecting varied data sources preferred
  • Familiarity with cloud Big Data platforms, preferably Azure, preferred
  • Knowledge of disaster recovery, high-availability design, and runbook development preferred
  • Excellent English communication skills and effective collaboration in agile, cross-functional teams preferred

लाभ

  • Flexible working schedules
  • Remote work options
  • Part-time work opportunities
  • Support for work-life balance
  • Equal-opportunity and diverse workplace
  • Professional development opportunities
  • Talent management programs

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