Telecoms Data Experience Jobs in Gauteng
- Johannesburg (40)
- Midrand (13)
- Centurion (7)
- Pretoria (7)
- South Africa (4)
- Bryanston (2)
- Bedfordview (1)
- Ekurhuleni (1)
- Fourways (1)
- Randburg (1)
E-merge It Recruitment
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Senior Data Engineer Johannesburg
E-merge It Recruitment
Johannesburg
1190400 An amazing opportunity for a Senior Data Engineer to join a multinational organization that produces work with feature teams to design and implement data extraction, cleaning, analysis, visualization, and database types to target data containers for the purpose of migrating data to cloud technologies If you APPLY NOW Core understanding of and working experience with: Databases: DB2 Preferred, Relational (Oracle Assist in creating data pipelines from source to target platforms. Experience in Data validation and verification
share this job on whatsappData Warehouse Manager Centurion
E-merge It RecruitmentCenturion
1500000 within a consultancy known for leading a world class data analytics/warehouse capability and specialising by implementing AI solutions has a vacancy for a Data Warehouse Manager who will be responsible for enabling maintain and support new databases, reporting, data warehouse and business intelligence applications Solutions Contribute to the overall data warehouse architecture and data base designs Maintain and oversee oversee the administration and maintenance of the data warehouse Develop and maintain Business Intelligence
Senior Data Scientist Johannesburg
E-merge It RecruitmentJohannesburg
1000000 and recognition to its employees seeks a Senior Data Scientist who will be accountable for designing Active Learner, Change Agility, Credit Risk Analysis, Data Science, Machine Learning, Predictive Modelling Programming, R Code, SQL, Statistical Data Analysis Qualifications and Experience: Degree with Stats/Math/Applied Stats/Math/Applied Maths/Financial Risk Management/Data Science/Engineering/Computer Science or related disciplines R or Python proficiency. Exposure to extracting data from databases is compulsory. Understanding &
Master Data Specialist Pretoria
E-merge It RecruitmentPretoria
660000 a Master Data Specialist to ensure the accuracy, consistency, and integrity of master data across various Qualifications and Experience: Bachelor's degree in computer science, Information Systems, Data Management, field 5-10 years' experience working with systems, with specific experience in systems data quality control Excel to Advanced Level Experience with ERP or operational systems Experience in work with cleaning and and validating large sets of data Understanding of data governance and quality principles Solid understanding
Data Engineer Johannesburg
E-merge It RecruitmentJohannesburg
800000 innovative financial services have an opportunity for a Data Engineer who will take responsibility for driving ETL systems for a big data warehouse to implement robust and trustworthy data to support high performing algorithms, predictive models and support real-time data visualisation requirements across the organisation Responsibilities: Systematic solution design of the ETL and data pipeline in line with business user specifications to the approved solution design Ensure data governance and data quality assurance standards are upheld
Data Scientist Pretoria
E-merge It RecruitmentPretoria
solutions and Global Team collaboration driving experiences with a deep insight into the compliance and IT IT Methodology processes is recruiting for a Data Scientist – AI Platform to offer a deep insight into Translating and simplifying requirements DevOps Experience Managing projects / processes Ability to develop emerging computing trend Very good knowledge and experience in NLP methods and customized NLU models. NLP/NLU case Experience with MSFT Bot Framework with Virtual Assistant is Qualifications and Experience: BSc
Senior Data Analyst Johannesburg
E-merge It RecruitmentJohannesburg
900000 brands and retailers have a vacancy for a Senior Data Analyst whose focus will be on building out our market through powerful data pipelines. Responsibilities: Help streamline our data science and analytics analytics workflows by improving data delivery and quality to internal and external stakeholders. Use agile software Work closely with the data science and business intelligence teams to develop data models and pipelines and machine learning Model front-end and back-end data sources to help draw a more comprehensive picture
Data Scientist Johannesburg
E-merge It RecruitmentJohannesburg
950000 management are on a recruitment drive for a Data Scientist to apply data mining techniques and conduct statistical statistical analysis to large, structured and unstructured data sets. Responsibilities: Model complex business problems machine learning models from and utilises distributed data processing and analysis methodologies. Competent such as HDFS / Spark / Kafka. Provide input into Data management and modelling infrastructure requirements systems, are understood and adopted relating to data collection, integration and retention requirements
Data Engineer Johannesburg
E-merge It RecruitmentJohannesburg
1000000 management services have an open role for a Data Engineer to execute data engineering duties according to the maintain complete data architecture across several application platforms Analyse data elements and systems loading of data Build, create, manage and optimise data pipelines Create data tooling, enabling data consumers consumers in building and optimising data consumption Execute on the design, definition and development of application platforms Experience performing root cause analysis on internal and external data and processes Knowledge
Data Engineer Johannesburg
E-merge It RecruitmentJohannesburg
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 develop predictive models. Qualifications and Experience: Bachelor's or Master's degree in Computer Science Mathematics, or a related field. 2 years of experience in data analysis, machine learning, and predictive
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