Requirements:

• BSc related Degree from a recognised university, completed in record time
• Excellent Matric Results
• 70%+ average University results
• Skills: Python, SQL, Scala, Java, Relational Databases, Cloud Platforms, ETL, Data Modelling
• Excellent Communication and Presentation skills
• Be available for an interview on 20 and 21 March 2024

KPA’s:

• Design, develop, and implement data pipelines and ETL processes tailored to their clients’ specific needs focusing on data cleansing, aggregation, and enrichment.
• Collaborate with clients to understand their business requirements and translate them into scalable data solutions.
• Work closely with cross-functional teams to ensure the successful implementation and integration of data solutions.
• ·Data collection and integration from data sources such as; databases, APIs, external data providers and streaming sources.
• Aggregation of unstructured data collected from multiple sources (data warehousing).
• Data storage and management – optimization of data schemas; ensuring data quality and integrity.
• Process and analyze large sets of data.
• Understand and implement Data Architecture, including data in motion, data at rest, datasets and the relationship between data-dependent processes and applications.
• Keep up-to-date on the latest trends and technologies in data engineering and apply them to deliver innovative solutions for our clients.
• Presenting and Communicating information
• Analysing
• Learning and Researching
• Planning and Organizing
• Delivering results and meeting client expectations
• Coping with pressure and setbacks