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
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
Our client requires the services of a Data Engineer/Scientist ( Expert) - 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 Boto3 ETL Docker Linux / Unix Big Data Powershell / Bash GROUP Cloud Data Hub (CDH) GROUP CDEC Blueprint Knowledge of data formats such as Parquet, AVRO, JSON, XML, CSV. Experience working with Data Quality Tools
2. Utilise AWS services and API Gateway to build scalable and efficient data pipelines.
3. Collaborate with cross-functional Qualifications:
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
to gain practical experience in capturing and managing financial data within an ERP system. You will be activities. Financial Reporting: Input financial data into the ERP system accurately and in a timely manner of placed devices as assets. Verify and reconcile data entered into the system to ensure accuracy and completeness team members to resolve discrepancies and address data entry issues. Generate and distribute financial Manager. Assist in updating and maintaining master data records, including vendor information, chart of
administrative duties such as electronic filing, data entry, and record keeping. Handle confidential and Provide general administration work including data capturing, memo typing, reports, presentation slides
administrative duties such as electronic filing, data entry, and record keeping. Handle confidential and Provide general administration work including data capturing, memo typing, reports, presentation slides
administrative duties such as electronic filing, data entry, and record keeping.
as an AWS Data Engineer (Expert) and leverage your skills in building and maintaining Big Data Pipelines expertise in Python, SQL, and AWS services to drive our data initiatives forward. Be part of a collaborative where your contributions ensure accurate and secure data management. ESSENTIAL SKILLS REQUIREMENTS: - Technical ETL - Docker - Linux / Unix - Big Data - Powershell / Bash - Cloud Data Hub (CDH) - CDEC Blueprint - Any ADVANTAGEOUS SKILLS REQUIREMENTS: - Expertise in data modelling with Oracle SQL. - Exceptional analytical