Westpac
4 months ago
Data Engineer
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Company information
- Company
- Westpac
- Location
- New Zealand New Zealand
- Posted
- 4 months ago
Job description
Data Engineer Perm full time Auckland based Mō te tūranga | About the Role We’re looking for a skilled data professional to design and build scalable, reusable data assets that meet evolving business needs. In this role, you’ll translate complex business requirements into intuitive, high-quality data products and act as a vital bridge between stakeholders and technical teams. You’ll collaborate across business units to understand data needs and deliver robust solutions using tools like PySpark, Apache Spark, Python, Scala, Java, SQL, relational databases, big data, cloud-based platforms, AWS, Azure, Google Cloud Platform, data warehousing, ETL processes, data governance, data quality, data visualization, Tableau, Power BI, Excel, business intelligence, analytics, machine learning, artificial intelligence, data engineering, data science, data architecture, data modeling, data integration, data transformation, data migration, data validation, data cleansing, data enrichment, data standardization, data normalization, data aggregation, data summarization, data analysis, data interpretation, data visualization, data storytelling, data presentation, data reporting, data dashboarding, data monitoring, data tracking, data logging, data auditing, data compliance, data security, data protection, data confidentiality, data integrity, data availability, data scalability, data reliability, data maintainability, data supportability, data usability, data accessibility, data portability, data interoperability, data reusability, data sharability, data collaboration, data communication, data coordination, data synchronization, data integration, data alignment, data consistency, data coherence, data accuracy, data precision, data completeness, data thoroughness, data exhaustiveness, data comprehensiveness.
Required skills
- java
- sql
- power bi
- data modeling
- excel
- python
- aws
- etl processes
- data analysis
- big data
- azure
- google cloud platform
- artificial intelligence
- machine learning
- data governance
- data science
- data migration
- tableau
- data integrity
- analytics
- data quality
- data engineering
- pyspark
- relational databases
- data integration
- data protection
- data architecture
- business intelligence
- scala
- data visualization
- data interpretation
- data presentation
- data warehousing
- data security
- data compliance
- data validation
- data storytelling
- data cleansing
- data transformation
- data tracking
- data reporting
- apache spark
- data availability
- data enrichment
- cloud-based platforms
- data communication
- data confidentiality
- data aggregation
- data normalization
- data synchronization
- data summarization
- data accessibility
- data monitoring
- data collaboration
- data logging
- data coordination
- data dashboarding
- data reliability
- data portability
- data scalability
- data interoperability
- data standardization
- data usability
- data auditing
- data maintainability
- data supportability
- data reusability
- data sharability
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