Big Data Engineer | Digital & Data
Tasks
- Build and maintain automated ETL ELT processes
- Configure and manage Hadoop Spark and Kafka
- Design and implement data processing systems
- Design and implement distributed computing solutions
- Ensure reliable data flow and data quality
- Optimize data systems for high volume workloads
Perks/Benefits
- City centre office
- Flexible working hours
- Team lunches
- Team-bonding activities
- Work from home option
Skills/Tech-stack
Amazon Web Services | Apache Hadoop | Apache Kafka | Apache Spark | Azure | Cloud platform | Data Lake | Data Quality | Data Warehouse | Distributed Computing | ELT | ETL | Google Cloud | Google Cloud Platform | PySpark | Web Services
Education
N/A
Roles
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