Industry and my clients are constantly looking for Data Engineers with hands-on experience and a stable
experience as a Data Engineer.
Experience with data engineering tools such as ETL Tools, Data Pipeline
Pipeline Tools, Data Warehousing Tools, Data Streaming Tools.
Qualification:
Bachelors
Senior Data Engineer Are you a talented senior data engineer looking for your Dream Developer Job? OfferZen working as a data engineer Hands-on, practical experience dealing with large amounts of data Experience Experience with big data tools: Hadoop, Spark, Kafka, etc. Experience working in an English speaking environment working with SQL and NoSQL databases Experience with data pipeline and workflow management tools: Azkaban detail Strong analytical skills Ability to combine data from different sources Nice to have: Experience
partner is looking for a highly analytical Fraud Data Scientist to join their team Job Description: A A leading financial institution is seeking a Data Scientist to join their fight against fraud. In this use your expertise to uncover hidden patterns in data and develop solutions that empower better decision-making Expertise: Provide deep knowledge and guidance for future data-driven projects focused on fraud and analytics. industry-wide and for individual clients. Data Management & Quality: Manage data quality issues related to fraud
motivated Sales Executive with experience in selling data solutions to drive revenue growth and expand our that our data solutions align with their needs.
Qualify, develop, and maintain Data Solution closure/ next stage of progress.
Own the Data Solution marketing and sales collateral.
Realize p>
Experience in solution selling and Data Solution services: 2 - 3 years (min.)
Exceptional within a Data Solution environment: 5-10 years (Desired).
Strong understanding of data solutions
partner is looking for a highly analytical Fraud Data Scientist to join their team Job Description: A A leading financial institution is seeking a Data Scientist to join their fight against fraud. In this use your expertise to uncover hidden patterns in data and develop solutions that empower better decision-making Expertise: Provide deep knowledge and guidance for future data-driven projects focused on fraud and analytics. industry-wide and for individual clients. Data Management & Quality: Manage data quality issues related to fraud
Reference: NFP014178-RDL-3 Are you a skilled data enthusiast with a knack for business analysis? We are talented individual to join our client's team as a Data Analyst Job Description: Join a leading financial products and processes under analysis Investigate data integrity issues alongside the wider team and propose propose viable solutions Communicate complex data insights to both technical and non-technical stakeholders teams to develop data-driven solutions and strategies Establish and implement data validation protocols
/>A leading financial institution is seeking a data scientist to join their fight against fraud. In use your expertise to uncover hidden patterns in data and develop solutions that empower better decision-making Expertise: Provide deep knowledge and guidance for future data-driven projects focused on fraud and analytics. clients.
Our client requires the services of a Data Scientist/Engineer (Entry) – Midrand/Menlyn/Rosslyn/Home Office collaboration High work-life balance with Flexible hours Agile working environment POSITION: Contract until processes Ability to develop within a specific sought-after programming language Strong working knowledge with
Prepares, transforms, models data and resolves conflicting sources of data and anomalies Supports the delivery including 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 Extensive
of data warehousing techniques and approaches