Admin Driving Data Capturing Jobs in South Africa - Page 3

Data Engineer

Johannesburg

industry

Who are we looking for: A data Engineer with a high degree of proficiency in SSIS he Data Engineer will be responsible for designing data models, maintaining, and optimizing data infrastructure infrastructure for data collection, management, transformation, and access. They will be responsible for building and maintaining data pipelines from source systems to the data warehouse and data lake. They will work work closely with the data scientist to build machine learning and analytics infrastructure.

• Collaborate

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Data Engineer

Johannesburg

 Negotiable

the lookout for a Data Engineer to join their team.Â

The purpose of the Data Engineer is to leverage leverage their data expertise and data related technologies, in line with the Company’s Data Architecture purpose data products, and support data initiatives. In addition, Data Engineers enhance the data infrastructure intelligence by providing clean, usable data to stakeholders. They also create data pipelines, Ingestion, provisioning solutions around big data that support the Bank's strategy to become a data driven organisation.

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Data Engineer

 Goldenrule

South Africa

for a Data Engineer to join their team. The purpose of the Data Engineer is to leverage their data expertise expertise and data related technologies, in line with the Company's Data Architecture Roadmap, to advance purpose data products, and support data initiatives. In addition, Data Engineers enhance the data infrastructure intelligence by providing clean, usable data to stakeholders. They also create data pipelines, Ingestion, provisioning and solutions around big data that support the Bank's strategy to become a data driven organisation Software

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Data Engineer

 Surgo Pty Ltd

Cape Town Region

 Attractive packages with fringe benefits

Data Engineer, Other, Cape Town. Company Name:Surgo HR and Training. Surgo (PTY) Ltd. has partnered with recruiting for a Data Engineer to join their team based in Cape Town. Job purpose: The data engineer is ultimately ultimately accountable for preparing and manipulating data for further analysis, including ETL and will support development lifecycle The Data Engineer is responsible for extracting and transforming data from source systems analytics. Overall the Data Engineer will strive for efficiency by aligning data systems with business

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Data Engineer

 Exl

Cape 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 in extracting value and features from large scale data and toolsets • Modern code development practices

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Data Analyst NEW

Midrand

- Interpreting data and analysing results using statistical techniques and provide on-going reports.
-Develop and implement databases, data collection systems, data analytics and other strategies that
-Acquire data from primary or secondary data sources and maintain databases/data systems.
-Identify trends or patterns in complex data sets.
-Filter and "clean" data by reviewing computer reports

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Data Engineer NEW

Stellenbosch

 280 000 Annually

prestigious institution
Proven experience as a Data Engineer or in a similar role, with a portfolio g., MySQL, PostgreSQL)
Proficiency with big data tools (e.g., Hadoop, Spark, Kafka)
Familiarity such as Python, Java, or Scala
Knowledge of data pipeline and workflow management tools (e.g., Airflow one who wishes to delve deep into the realms of data engineering and contribute to projects that wield

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It Data Scientist NEW

Centurion

 380 Annually

Certification

Data Engineer

Johannesburg  Monthly

for:Â

• Data Engineer skill is required to enable the data lifecycle within EDS, namely namely the ability to integrate data between source system (golden/trusted) and the target database (LOB) (LOB), hence provide good quality data by applying the necessary framework/s and governance to whomever fields
• 5 years experience as a Data Analyst
• Data warehousing concepts is advantageous.
• Ab cloud) is essential.
• Azure Cloud – Azure Data Factory is advantageous.
• Agile working approach

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