co. za Data Engineers are responsible for building and maintaining Big Data Pipelines using Data Platforms Platforms. Data Engineers are custodians of data and must ensure that data is shared in line with the information Py Spark. Boto3. ETL. Docker. Linux / Unix. Big Data. Powershell / Bash. Salary Market Related
experience Senior Data Specialist with the required: 10 years of comprehensive experience in data management Responsibilities: Data Management: Lead the development and implementation of data management strategies and security of banking data assets. Data Analysis: Conduct in-depth data analysis and interpretation actionable insights and inform business decision-making processes within the banking organization. Data Governance: Governance: Establish and enforce data governance policies, standards, and procedures to ensure compliance
Our client requires the services of a Data Engineer/Scientist ( Senior ) - Midrand/Menlyn/Rosslyn/Home as possible ROLE: Data Engineers are responsible for building and maintaining Big Data Pipelines using using GROUP Data Platforms. Data Engineers are custodians of data and must ensure that data is shared in line Unix Big Data Powershell / Bash ADVANTAGEOUS TECHNICAL SKILLS Demonstrate expertise in data modelling complex data sets. Perform thorough testing and data validation to ensure the accuracy of data transformations
Duties:
Review and clean existing data sets to ensure accuracy and completeness.
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rectify inconsistencies, duplicates, and errors in the data.
â Collaborate with cross-functional teams
/>Proven experience in data cleansing and quality assurance.
â Familiarity with data management tools
the SAP, Java, Azure and Cloud landscape seeks a Data Streaming Platform Engineer. Running business critical
Job Title: AWS Data Engineers Required - Project Based - Contractual-to start asap-JHB - Hybrid Location: develop, and implement AWS cloud solutions for data engineering projects. 2. Utilise AWS services such and API Gateway to build scalable and efficient data pipelines. 3. Collaborate with cross-functional Required Qualifications: Proven experience as an AWS Data Engineer or similar role Strong understanding of scheduling and identifying data/job dependencies. Knowledge / Experience with data engineering using AWS platform
internationally for over 5000 clients Data Acquisition, Data cleansing, Data transformation. Machine learning learning algorithms to uncover data patterns, make predictions and build intelligent systems.
We are currently recruiting a Master Data Specialist (Finance) for a 6-12 month Degree
business units, that contribute to the monetisation of data through the development and delivery of advanced principles that find hidden patterns and associations in data used to influence business strategy, inform channel
graduated Data Analyst , the candidate will be responsible for working with company's data in various various business areas. Track and report data. Manage campaign budgets. Maintain a competitive market knowledge