Responsibilities: Write reusable, testable and efficient code Research on technologies that can improve our products
Science, Statistics, Mathematics, or a related field 4 years of experience in data analysis, machine languages such as Python, Java, or SQL Experience working with large datasets and data manipulation tools
Bachelor's Degree in Computer Science or similar fields like Information Systems, Big Data Azure Data Engineer techniques Experience working in a high availability DataOps environment Experience working with automated data Transact SQL Automation/Scheduling tools/frameworks Working knowledge of Data Ops Understanding of API-based
NEW WORK IN: With a leading provider of innovative marketing solutions dedicated to helping businesses meaningful ways. This is an excellent opportunity to work with a team of passionate professionals committed itself on fostering a collaborative and inclusive work environment where creativity and innovation thrive team Understanding of modified Scrum/Agile work Prioritising work to be done Strategy: Product development
A leader in African capital markets with a comprehensive suite of products, a vast global reach while has a vacant position for an AWS Data Engineer to work within a team solving complex problems to deliver written, designed, coded, tested and debugged Working with Enterprise Collaboration tools such as Confluence artefacts Working with Data Quality Tools such as Great Expectations Developing and working with REST REST API's is a bonus Knowledge of the Agile Working Model Qualifications and Experience: Relevant IT / Business
NEW WORK IN: with a leader in sustainable energy solutions, dedicated to creating a greener future through in Computer Science, Engineering, or a related field 2 years of professional experience developing backend communication and collaboration skills, with the ability to work well in a team-oriented environment. Reference Number
a wide range of positions available. We offer researched positions with top companies to strong technical
degree in Computer Science, Engineering, or related field. Proven experience as a DevOps Engineer in a fast-paced and application performance monitoring. Ability to work independently and collaboratively within a team
statistics, computer science, or any other quantitative field 5 - 7 years development experience in software and business intelligence. 5 - 7 years' experience of working with unstructured data (e.g., streams, images)
catering for requirements for various international markets with functionality encapsulated in API's that can that are expandable. Core understanding of and working experience with: Full Stack developer SQL with