Data Engineer - Gauteng Locations: Centurion l Johannesburg l Cape Town Working model: Hybrid Specification: Specification: The Data Engineer will have a knack for data analysis, data manipulation, and data modelling Requirements: 4-10 Years' working experience as a Data Engineer / Database Developer. Experience in data mining IT or Informatics related degrees). DP-203: Data Engineering on Microsoft Azure Certification. Key Responsibilities:
industry, is seeking a highly skilled Senior Data Engineer to join their dynamic team. In this role, you
implemented and maintained ETL pipelines.
business processes involving data flow.
The Data Engineer will also be involved in designing and building
Requirements:
and emerging technologies in the field of data engineering.
have an open role for a Cloud Data Engineer to execute data engineering duties according to the standards
their careers. Overall purpose of the role The Data Engineer is responsible for designing, building, and integrate data engineering solutions with other systems and applications. Ensure that data engineering solutions requirements. Provide documentation and support for data engineering solutions to ensure that they are maintainable degree in Commerce, Computer Science, Data Science, Engineering, or related field. Minimum of 5 years years of experience in data engineering or a related field. Strong understanding of data warehousing concepts
experience. COMMENCEMENT: As soon as possible ROLE: Data Engineers are responsible for building and maintaining Data Pipelines using GROUP Data Platforms. Data Engineers are custodians of data and must ensure that preferred. University degree in Computer Science, Data Engineering or a comparable field of study with a focus Databricks) Profound technical understanding for Data Engineering and Data Warehouse Design. ADVANTAGEOUS TECHNICAL
their careers. Overall purpose of the role As a Data Engineer you will utilize your knowledge of Integrations Development teams, Cloud Operations teams, and the Data Engineering team to curate a high-quality dataset to serve Work closely with Business Intelligence, Data Engineering, cross-functional and Leadership teams to relevant data. Contribute to improving the data engineering best practices and processes. Design agile coding and experience working with Python in data engineering Proficient with Application Programming Interface