SMA Solar develops and manufactures photovoltaic system technology for renewable energy generation and modern power infrastructure. Its work spans solar products and energy solutions designed to support more sustainable electricity supply. With a global team of more than 3,000 employees across 20 countries, the company brings together expertise in energy, manufacturing, and logistics, creating opportunities for professionals interested in advancing clean-energy technology.
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.
Description
- 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
Requirements
- 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
Benefits
- 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