of an Intermediate Data Engineer who will play a crucial role in leveraging data-driven insights to drive measuring the success of data science initiatives. Design and implement data visualisation tools and dashboards with emerging technologies and best practices in data science, machine learning, and artificial intelligence Mathematics, or a related field. 2 years of experience in data analysis, machine learning, and predictive modelling SQL. Experience working with large datasets and data manipulation tools (e.g., Pandas, NumPy) will be
Intermediate Data Engineer Are you a talented intermediate data engineer looking for your Dream Developer working as a data engineer Hands-on, practical experience dealing with large amounts of data Experience Experience with big data tools: Hadoop, Spark, Kafka, etc. Experience working in an English speaking environment working with SQL and NoSQL databases Experience with data pipeline and workflow management tools: Azkaban detail Strong analytical skills Ability to combine data from different sources Nice to have: Experience
Digital Solutions, Database, Business Intelligence and Data Analytics solutions. CyberPro's expertise spans range of modern software development, digital and data technologies and vendors, with a focus on Microsoft Software and System development 3. System integration, Data integration and migration 4. Web and Mobile Digital Digital solutions 5. Business Intelligence, Big Data and Data Analytics 6. Workflow and Robotics Process Automaton Telecommunication · The Data Engineer will be responsible for transforming data into actionable insight
meet clients' needs. This team is searching for a Data Analyst, the candidate will be responsible for collecting collecting, analysing, and interpreting complex data sets to provide valuable insights and support strategic experience Responsibilities: Gather and consolidate data from multiple sources, including internal databases third-party vendors. Cleanse, validate, and preprocess data to ensure accuracy, completeness, and consistency consistency. Utilise statistical techniques and data mining algorithms to analyse large datasets and extract meaningful
Are you ready to drive data-driven decision-making to new heights? We're seeking a strategic thinker powerhouse to lead our data analytics team in harnessing the potential of data to shape business strategies COMPANY realizes the business benefits of improved data analytics through the development and management gain insights from complex datasets, supporting data-driven decision-making efforts.
- Contribute interpret, and present financial, client, and other data.
- Consolidate, analyze, interpret, and provide
JHB001726-KK-1 Join our IT Hub South Africa as a Data Scientist-AI Platform, focusing on innovative AI
Reference: NFP014235-ASl-1 Take your data science skill set to the next level About Us: We leverage cutting-edge algorithms to address business challenges. Conduct data analysis to extract meaningful insights and trends Qualifications: Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. A Master's preferred. 5 years proven experience as an AI Analyst, Data Scientist, or similar role. Proficiency in programming scikit-learn). Strong understanding of statistical analysis, data mining, and predictive modeling. Excellent problem-solving
We are seeking an experienced AWS Data Engineer to join my client's team in Johannesburg for a 6-month Migrate data infrastructure components from source to target AWS accounts Enhance and optimize data pipelines Azure DevOps for efficient deployment Ensure proper data access, permissions, and security controls Collaborate requirements Qualifications: Experience with AWS data services Proficiency in Terraform for cloud infrastructure provisioning Experience with Python and its use in data engineering pipelines Solid understanding of CI/CD
some Python and AWS data engineering experience, as everything will be related to data ingestion, storage
project. The focus in more on the following: Data analytics Data Reconciliations Table Mappings Source to end outputs Data Manager Lead Define Data Lineage Transform Data Can create scripts Raise Data Quality Issues Issues Drive Resolution of data issues Facilitate business requirements on data vs what is on the system/application