Data Engineer - Senior Analyst / Manager
Wellington - PwC Centre, Level 4, New Zealand
NZD 109K-134K (estimate) Senior-level Full Time
Tasks
- Design and implement automated validation rules
- Design data pipelines with Azure services
- Diagnose integration issues
- Enforce lineage tracking
- Ensure data governance with metadata standards
- Evaluate and adopt Azure data services
- Execute data cleansing routines
- Gather requirements and deliver data products
- Implement CI/CD
- Implement infrastructure-as-code
- Lead data migration initiatives
- Maintain data pipeline documentation
- Manage access controls
- Monitor and improve data quality
- Perform data profiling
- Reconcile data across platforms
- Resolve system performance bottlenecks
- Troubleshoot data pipeline failures
Perks/Benefits
- Coaching
- EAP
- Flexible working
- Group health insurance
- Health benefits
- Paid parental leave
- Paid sick leave
- Paid volunteering leave
- Purchase extra annual leave
Skills/Tech-stack
Apache Spark | Azure | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Databricks | Azure DevOps | Azure Event | Azure Event Hubs | Azure Pipelines | Azure Synapse | Azure Synapse Analytics | Bicep | CI/CD | Collibra | Data Engineering | Data Factory | Data Governance | Data Lake Storage | Data Lakehouse | Data Lineage | Data Migration | Data Modeling | Data Quality | Data Reconciliation | DevOps | Dimensional Modeling | ETL | Event Driven | Event Hubs | Event-driven architecture | GitHub Actions | Informatica | Infrastructure as Code | Metadata Management | Microsoft Purview | Python | Relational modeling | SQL | Synapse Analytics | Terraform | “as-code”
Education
N/A
Roles
Analyst | Data Analyst | Data Engineer | Data Governance | Data Governance Analyst | Engineer | Governance Analyst
Regions
Countries
States
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