Sr. Data Engineer
Tasks
- Build data pipelines
- Collaborate deliver data solutions
- Design build test deploy big data solutions
- Estimate effort, identify risks, plan execution
- Extract clean transform analyze raw data
- Implement data governance security compliance
- Ingest process store data for analytics
- Integrate APIs with internal systems
- Manage work tasks deliver high quality solutions on time
- Monitor identify escalate data system issues
Perks/Benefits
- Annual leave
- Contributory pension scheme
- Diversity forums
- Hybrid work
- Mindfulness app access
- Networking groups
- Private health care
- Remote work flexibility
- Wellbeing programs
Skills/Tech-stack
Agile | Apache Airflow | Apache Hive | Apache Spark | Batch Processing | CI/CD | Cloud Composer | Cloud Dataflow | Cloud Dataproc | Cloud Functions | Cloud PubSub | Cloud Storage | Data Modeling | Data Pipelines | Delta Lake | Development Lifecycle | ETL | Git | Google BigQuery | Google Cloud | Google Cloud Dataflow | Google Cloud Dataproc | Google Cloud PubSub | Google Cloud Storage | Integration Testing | Lakehouse Architecture | Microsoft SQL | Microsoft SQL Server | Object-Oriented | Object-oriented programming | Pandas | Performance optimization | PySpark | Python | Real Time | Real-time Streaming | SQL | SQL Server | SSMS | Scalability | Software Development Lifecycle | Software development | Source Control | Spark SQL | T-SQL | Test-Driven | Test-Driven Development | Unit Testing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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