Senior Data Engineer to join their organization at their Johannesburg branch. The Senior Data Engineer within the Data Science Team, the Data Engineer will be responsible for the organization's data structure enterprise standard ETL/ELT processes as well as data lakes and a focus on code-based techniques and collaborative infrastructure Active working experience in Big Data is ideal Experience in market research, marketing marketing industries, and survey & sampling data would be beneficial Job & Description: Collaborate
highly skilled Business Intelligence Analyst & Data Scientist to join their dynamic team. The successful successful candidate will be responsible for managing data retrieval and analysis within the organization and organizing data flow, communicating between senior management and the IT department, and analyzing data to determine sources including company data, public information, and purchased sources. Write data collection and processing processing procedures (in SQL). Ensure that data is correctly gathered, stored, and reported. Report on key
market to cleanse and enrich prospective customer data, including points of contact, contact details, current
developing, and maintaining master data management solutions to ensure data integrity, consistency, and accuracy role in implementing MDM solutions and supporting data governance initiatives. MDM Solution Development Development Design, develop, and customize master data management solutions using MDM platforms such as Informatica Implement data models, hierarchies, and relationships to support business requirements and data governance workflows, business rules, and data validation processes within the MDM platform Data Integration and Interoperability
Reference: ITE006013-DAP-1 Are you a meticulous Data Analyst with a passion for finance? A leading financial dynamic team. Key Responsibilities: Data Collection & Management. Data Analysis. Reporting & Visualization Collaboration with IT and other departments to implement data-driven solutions. Continuous Improvement Qualifications Qualifications & Skills: Education: Bachelor's degree in Data Science, Statistics, Finance, Economics, Computer certification in data analysis or finance is a plus. Experience: Minimum of 1-3 years in data analysis within
Reference: JHB001787-GuguN-1 Job Description: The Data Scientist will focus on developing cost variance variance use cases as part of Exxaro Resources' Data & AI Strategy. This position entails working onsite statistical and machine learning techniques to drive data-driven decision making. - Present findings to both What We're Looking For: - Experience:4-6 years in data science roles. - Skills: Proficiency in Python, analysis and modeling techniques. Experience with data visualization tools (e.g., Tableau, Power BI). -
Dynamic Team Are you passionate about transforming raw data into actionable insights? Do you have a knack for perfect opportunity for you We are seeking a talented Data Analyst with a flair for visualization to join our collaborate with cross-functional teams to drive data-driven decisions. Key Responsibilities: Analyze Utilize cutting-edge visualization tools to present data in a clear and impactful manner. Collaborate with updated on industry trends and best practices in data analysis and visualization. Qualifications: Bachelor's
ETL
- Docker
- Linux / Unix
- Big Data
- PowerShell / Bash
Advantageous
Expertise in data modelling with Oracle SQL
- Analytical skills for large and complex data sets
-
/>- Thorough testing and data validation
- Strong written and verbal communication
- Ability
(Confluence, JIRA, etc.)
- Knowledge of Cloud Data Hub (CDH) and CDEC Blueprint
- Development
Knowledge of data formats (Parquet, AVRO, JSON, XML, CSV, etc.)
- Experience with Data Quality Tools
Linux / Unix
- Big Data
- PowerShell / Bash
- Cloud Data Hub (CDH)
- CDEC Blueprint
data formats such as Parquet, AVRO, JSON, XML, CSV, etc.
- Experience working with Data Quality
REQUIREMENTS:
- Demonstrated expertise in data modelling with Oracle SQL.
- Exceptional analytical
complex data sets.
- Perform thorough testing and data validation to ensure the accuracy of data transformations
multi-task.
- Experience building data pipelines using AWS Glue or Data Pipeline, or similar platforms.
Excellent opportunity for a highly experienced DATA ANALYST experience in Auditing. Matric (Essential) generating reports and dashboards A minimum of 2-3 years' data analysis experience Experience in the insurance generating reports and dashboards A minimum of 2-3 years' data analysis experience Working experience in Auditing