Big Data Engineer
Tasks
- Build reusable data ingestion transformation components
- Collaborate with stakeholders on technical solutions
- Design scalable big data solutions
- Develop big data processing pipelines
- Develop distributed data processing applications
- Ensure data quality, integrity, and consistency
- Implement and tune Apache Spark applications
- Monitor troubleshoot big data infrastructure
- Optimize batch and real-time processing
- Perform code reviews and technical documentation
- Support production deployment automation and tuning
Perks/Benefits
- N/A
Skills/Tech-stack
Agile | Apache Hadoop | Apache Spark | CI/CD | Data Ingestion | Data Processing | Data Storage | Data Transformation | Data Validation | Data pipeline | DevOps | Distributed data | Distributed data processing | ETL | HDFS | Hive | MapReduce | Performance Tuning | Python | Scala | Streaming | Troubleshooting | Workflow Orchestration | YARN
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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