Cloud Data Engineer
Cloud Data Engineer
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Salary Not Disclosed
1 Vacancy
Job Description
Contract Position
Minimum Requirements:
- Bachelors degree with 3 years related professional experience
- Relevant certifications e.g. SAP Microsoft Azure
- Must have at least 10 years of cloud data engineering experience
- Bachelors degree in Computer Science Computer Engineering or a related field required
- 8 years of experience as a Cloud Data Engineer
Technologies:
- Azure
- SQL
- Databricks
Required Experience:
- Seasoned experience as a data engineering data mining within a fastpaced environment
- Proficient in building modern data analytics solutions that delivers insights from large and complex data sets with multiterabyte scale
- Seasoned experience with architecture and design of secure highly available and scalable systems.
- Proficient in automation scripting and proven examples of successful implementation
- Seasoned experience in any applicable language
- Proficient in working with SAP SQL MySQL databases and Microsoft SQL
- Seasoned experience working with data sets and ordering data through MS Excel functions e.g. macros pivots
- Seasoned experience working in internet technologies e.g. SaaS
Responsibilities:
- Create data models in a structured data format to enable analysis thereof
- Design and develop scalable extract transform and loading (ETL) packages from the business source systems and the development of ETL routines to populate data from sources
- Participate in the transformation of object and data models into appropriate database schemas within design constraints.
- Interpret installation standards to meet project needs and produce database components as required
- Create test scenarios and be responsible for participating in thorough testing and validation to support the accuracy of data transformations
- Develops and maintains missioncritical information extraction analysis and management systems
- Provides direct and responsive support for urgent analytic needs
- Translates loosely defined requirements into solutions.
- Uses open source technologies and tools to accomplish specific use cases encountered within the project
- Uses coding languages or scripting methodologies to solve a problem with a custom workflow
- Performs incremental testing actions on code processes and deployments to identify ways to streamline execution and minimize errors encountered
Knowledge and skills:
- Seasoned in the definition and management of scoping requirements definition and prioritisation activities
- Good understanding of database concepts object and data modelling techniques and design principles and conceptual knowledge of building and maintaining physical and logical data models
- Specialist either in Microsoft Azure Data Factory SQL Analysis Server SAP Data Services SAP BTP
- Good understanding of data architecture landscape between physical and logical data models
Employment Type
Full Time
