Data Engineer - Senior Analyst / Manager
NZD 112K-132K (estimate) Senior-level Full Time
Tasks
- Adopt best practices
- Apply infrastructure as code
- Collaborate with stakeholders
- Deliver data products
- Deploy data infrastructure
- Design data pipeline architecture
- Design data pipelines
- Document data pipelines
- Enforce data governance
- Ensure data integrity reconciliation
- Evaluate Azure data services
- Execute data cleansing routines
- Gather requirements
- Implement CI/CD practices
- Implement automated validation rules
- Implement metadata standards
- Lead data migration initiatives
- Maintain data models
- Manage access controls
- Monitor data quality
- Optimize data pipelines
- Optimize system performance
- Perform data profiling
- Resolve integration issues
- Track data lineage
- Translate requirements into technical solutions
- Troubleshoot data pipeline failures
Perks/Benefits
- Annual summer shutdown
- Coaching
- Employee assistance program
- Flexible working
- Health insurance
- Life & income protection
- Paid parental leave
- Paid sick leave
- Purchase extra annual leave
- Recognition days
- Volunteering leave
Skills/Tech-stack
Access Controls | Apache Spark | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure DevOps | Azure Event | Azure Event Hubs | Azure Synapse | Azure Synapse Analytics | Bicep | CI/CD | Collibra | Data Cleansing | Data Factory | Data Governance | Data Lake Storage | Data Lakehouse | Data Lineage | Data Migration | Data Modeling | Data Quality | Data profiling | Databricks | Dimensional Modeling | ETL | Event Driven | Event Hubs | Event-driven architecture | GitHub Actions | Hybrid Cloud | Informatica | Infrastructure as Code | Metadata Management | Microsoft Purview | Multi-cloud | Python | Relational modeling | SQL | Synapse Analytics | Terraform | “as-code”
Education
N/A
Roles
Analyst | Data Analyst | Data Engineer | Data Engineering | Data Engineering Manager | Engineer | Engineering Manager | Manager
Regions
Countries
States
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