Data Capturing No Experience Jobs in Cape Town, Western Cape
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Data Scientist
Cape Town City Centre
Monthly
Responsibilities:
- Develop and maintain data models for BI and analytics solutions.
- Code Palantir Foundry.
- Assemble large, complex data sets to meet business requirements and advanced to ingest and process structured and unstructured data from various source systems into analytical platforms cross-functional international team to design and implement data-driven workflow solutions.
- Hands-on experience with PySpark, Python, and SQL.
- Experience with Big Data Hadoop tools
share this job on whatsappData Engineer
Cape Town City Centre
skills
Qualifications and experience
- Bachelor’s programming language
- 5 or more years of experience within a SQL database environment
- Excellent Talend
- Proven ability to specify and support various data integration scenarios (e.g. ETL, API, JSON, etc
Data Scientist
Cape Town City Centre
Negotiable and experienced Data Scientist with a robust background in data analysis, machine learning and R, as well as expertise in SQL for efficient data manipulation. Excellent problem-solving skills, exploring emerging technologies and methodologies in the data science field.Â
What you’ll do
explore, examine, integrate and scrub data from multiple disparate data sources required to answer complex
and collaborative partnerships with BI Analysts / Data Scientists / Use Case Owners in the business.
Data Engineer
ExlCape Town Region
Prepares, transforms, models data and resolves conflicting sources of data and anomalies • Supports the Agile ceremonies • Implement methods to improve data reliability and quality • Combines raw information formats • Develop and test architectures that enable data extraction and transformation for predictive or Cooperate with the Business Analyst, Data Architect and Data Visualisation Developer throughout these plus • Extensive experience of designing, developing and testing ETL processes • Experience of batch and
Data Scientist
Cape Town City Centre
economics, data engineering, risk management, or equivalent industry training and experience.
Data Specialist
Raw AmbitionKloof Street
1. Data Analysis: Analysing and interpreting complex data using statistical methods and tools to uncover insights and trends. 2. Data Extraction: Using ETL / ELT methods and tools like Azure Data Factory and Synapse Synapse. 3. Data Visualization: Creating visualizations and dashboards to communicate data insights effectively 4. Data Cleaning: Cleaning and preprocessing data to ensure accuracy and completeness. 5. Data Modelling: Working collaboratively with other members of the data science team and other departments to identify business
Data Engineer
Cape Town City Centre
lookout for accomplished Data Engineers with strong academics, robust project experience and technical knowledge years of relevant experience
Data Engineer
Cape Town Region
R60 000 to R80 000 Per Month processing data from over 200 source systems. The role involves cleaning and aggregating data through our will improve and streamline processes regarding data flow and quality, working both independently and skills
Qualifications and experience
- Bachelors
Data Engineer
ExlCape Town Region
Prepares, transforms, models data and resolves conflicting sources of data and anomalies Supports the delivery including Agile ceremonies Implement methods to improve data reliability and quality Combines raw information formats Develop and test architectures that enable data extraction and transformation for predictive or Cooperate with the Business Analyst, Data Architect and Data Visualisation Developer throughout these plus Extensive experience of designing, developing and testing ETL processes Experience of batch and real-time
Energy Data Analyst
Cape Town City Centre
Energy Data Analyst vacancy in Cape Town.
Cape Town
Minimum
/>Minimum requirements and experience:
- BEng or BSc (Mechanical or Electrical or Statistics).
- Minimum years relevant working experience in data analysis.
- A passion for data analysis and BI visualisation visualisation. Experience with BI tools and SQL basics.
- Proficient in working with multiple datasets existing tools and methods to solve data-related problems.
- Data cleaning, aggregation and the automation
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