Eskom Data Capture Jobs in South Africa - Page 2
IT / Computing / Software
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- Last 7 days (82)
- Last 3 days (49)
Data Platform Engineer Pretoria
Workforce Staffing - Gauteng
Pretoria
the SAP, Java, Azure and Cloud landscape seeks a Data Streaming Platform Engineer. Running business critical
share this job on whatsappData Engineer Midrand
Africonology SolutionsSouth Africa
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
Senior Data Engineer Johannesburg
E-merge It RecruitmentJohannesburg
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 Assist in creating data pipelines from source to target platforms. Experience in Data validation and verification to transform data from source to target for analytical purposes (Business Objects/Data Lakes) and migration
Data Analyst Cape Town
ParvanaCape Town Region
that align with strategic objectives. Dive into data analysis to uncover insights and fine-tune digital Cultivate a comprehensive documentation culture, capturing processes, requirements, and project milestones digital transformation with a focus on innovative, data-driven solutions. Understanding of digital technologies complemented by an entrepreneurial mindset and passion for data-driven decision-making. Excellent communication website - www.parvana.co.uk . Data Analyst, Digital Transformation, PM Tools, Data-Driven
Data Engineer Midrand
IsanqaSouth Africa
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
Aws Data Engineer - (contract)
Johannesburg
some Python and AWS data engineering experience, as everything will be related to data ingestion, storage
Data Engineer Cape Town
Outsized South Africa LtdSouth Africa
buildup initiative aimed at pooling highly skilled Data Engineers for upcoming opportunities in Africa. requirements of the data & analytics environment Analyse business or system requirements and data to enhance years in a data environment Experience with ETL processes and SDLC Database system and cloud data warehousing experience (relational databases, star schemas) Data Analysis, Design, and Architecture experience Ideally
Data Scientist Midrand NEW
IsanqaSouth Africa
Our client requires the services of a Data Scientist/Engineer (Entry) – Midrand/Menlyn/Rosslyn/Home Office
Data Engineer (contract) NEW
Centurion
Annually of data warehousing techniques and approaches
Data Engineer South Africa
Hi-tech Recruitment - Cape TownSouth Africa
Reference: CPT005206-RP-1 Data Engineer Our client is seeking a skilled Big Data Architect to design, implement involve developing data pipelines, ensuring data quality, and collaborating with data analysts to meet and implement data pipelines for efficient data movement and processing (ETL). Ensure data quality through and cleaning techniques. Build and manage scalable data storage and processing systems using distributed like Apache Hadoop. Collaborate with data analysts to understand data requirements and translate them into
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