Junior Data Engineer

Requirements:BSc related Degree from a recognised university, completed in record timeExcellent Matric results70%+ average University resultsSkills: Python, SQL, Scala, Java, Relational Databases, Cloud Platforms, ETL, Data ModellingExcellent Communication and Presentation skillsKPA'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.Present and communicate information.Analysis.Learning and Research.Planning and Organizing.Deliver results and meet client expectations.Cope with pressure and setbacks.For more information contact:Andrea PilusaRecruitment Specialist