Data Engineer
7 months ago
WFH 2 days - City Fringe Office
- 9 month contract
- Healthcare industry experience beneficial
- 9 month contract
- WFH 2 days - City Fringe Office
- Healthcare industry experience beneficial
The contract role of the Data Engineer entails profound expertise in constructing data and intelligence solutions across prominent cloud platforms like AZURE and AWS, while also possessing proficiency in implementing data warehousing solutions within conventional SQL Server-based environments.
**Key Responsibilities**:
- Architecting and crafting data and intelligence solutions, encompassing the conceptualization and establishment of scalable (big) data lakes, whether entirely cloud-based or of hybrid cloud nature, as well as cloud data warehouses.
- Enhancing and developing traditional data warehousing environments as necessary.
- Creating efficient data extraction, transformation, and load (ETL) processes.
- Conducting thorough unit testing on personal developments before submitting them for quality assurance testing.
- Ensuring the precision and alignment of all development with business requirements, while adhering to best practice technical solutions and design methodologies. This is achieved through collaborative work with fellow BI Developers, the BI Development Manager, and Business Intelligence Specialists.
- Adhering consistently to departmental processes and standards.
- Supporting the communication and delivery of solutions to relevant stakeholders.
**Experience**:
- Over a decade of pertinent experience involving the implementation and utilization of data and intelligence platforms.
- A minimum of five years of familiarity with tools like WhereScape RED, SQL Server, Microsoft SQL Server Integration Services (SSIS), SQL Analysis Services, and BusinessObjects Universe/WEBI/CrystalReports.
- Proficiency in utilizing Continuous Integration/Continuous Deployment (CICD) tools such as Jenkins or Bamboo, including tasks like infrastructure deployment, code/micro-service deployment, and test automation.
- Practical experience working with sizable and intricate datasets.
- Knowledge concerning the development and maintenance of both physical and logical data models.
- Extensive comprehension of the software development life cycle (SDLC) or the Business Intelligence life cycle.
- Advanced computer skills, particularly in MS Office.
- Exceptional written and verbal communication capabilities, showcasing adeptness in effective influence.
- The ability to operate adeptly under pressure, consistently delivering within designated timeframes.
- Proficiency in conveying information effectively to both technical and non-technical personnel.
- Strong aptitude for problem-solving and analysis, with the capability to navigate challenging situations judiciously.
- Demonstrable self-initiative, assuming responsibility, ownership, and a proactive approach.
- Ability to work autonomously with mínimal oversight, as well as the flexibility to collaborate effectively within a team setting.
Applicants must have the right to work in New Zealand, as this is a contract and the client cannot sponsor.
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