Senior Data Engineer - AWS
Tasks
- Apply AWS Well-Architected Principles
- Apply data governance including GDPR
- Build cloud-based data pipelines
- Collaborate with clients on requirements
- Deploy production grade data platforms
- Design end-to-end data pipelines
- Develop and test data engineering systems
- Implement CI/CD practices for data pipelines
- Implement scalable secure resilient architectures
- Ingest transform and serve data at scale
- Lead fault tolerant data engineering solutions
- Support and mentor junior engineers
Perks/Benefits
- Adoption leave
- Backup care sessions
- Critical illness cover
- Cycle to work
- Dental insurance
- Flexible annual leave
- Gym membership
- Health insurance
- Hybrid work
- Life insurance
- Maternity leave
- Mental health support
- Online GP services
- Pension
- Season ticket loans
- Shared parental leave
- Training budget
- Travel insurance
Skills/Tech-stack
AWS | AWS Lake Formation | Amazon Kinesis | Apache Spark | CI/CD | Data Governance | Data Lakehouse | Data Modeling | Data Warehousing | Databricks | DevOps | Distributed File System | Distributed Systems | File System | GDPR | HDFS | Hadoop | Hadoop Distributed File System | Hive | Java | Kafka | Lake Formation | Python | Real Time | Real-time Streaming | Scala | Schema Design | Spark Streaming
Education
N/A
Roles
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