to new heights. We're looking for highly skilled Data Analysts with experience in financial services, Interpret data, analyze results and interpret trends enabling continuous improvement in data quality and specifications that specify data sources, data flows, data transformations, data storage and reporting Produce documentation such as source-to-target-maps, data dictionaries and data models Create test cases and scenarios and business stakeholders to identify data sources, find data definitions for master and metadata as
/>The purpose of the Data Engineer is to leverage their data expertise and data related technologies
technologies, in line with the company Data Architecture Roadmap, to advance technical thought leadership for the
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 company strategy to become a data driven organisation.
insurance space is on the lookout for a AWS Data Cloud Engineer (big Data Engineer)Â
Knowledge
perform data quality checks in a methodical manner to understand how to accurately utilize client data.
company is currently looking for a Sales Manager (Data Centre) based in Fourways. The Sales Manager will will be responsible for achieving the Open Access Data Centre sales target by generating new sales and collocation company. Sales manager experience in a Data Centre Telecommunication industry. Microsoft packages
company is currently looking for a Sales Manager (Data Centre) based in Fourways. The Sales Manager will will be responsible for achieving the Open Access Data Centre sales target by generating new sales and collocation company. Sales manager experience in a Data Centre Telecommunication industry. Microsoft packages
Who are looking for: A Master data lead
What will you do:
As team, the Master data lead is responsible for the management and maintenance of master data according to WSNP,) ensuring the quality and integrity of the data, guaranteeing that it is accurate, complete and
individuals operate efficiently and make effective data-driven decisions. They are actively seeking like-minded What you will be doing: Uncover insights through data visualisation for smarter decisions. Streamline Prepare data for analysis and reporting with precision and efficiency. Address various data requests Explore growth opportunities using data-driven approaches. Enhance data quality and delivery speed for better SQL, Python, and data visualisation techniques. Skilled in Microsoft Excel for data manipulation. Strong
Reference: NFP014177-AA-1 Are you a talented Data Scientist seeking an exciting opportunity to revolutionize harness the power of data to drive innovation and enhance customer experiences As a Data Scientist with us extract actionable insights from vast amounts of data. Your responsibilities will include: Collaborating teams to identify business challenges and develop data-driven solutions. Designing and implementing predictive risk assessment, and fraud detection. Utilizing big data technologies and cloud platforms to analyze and
Finance Concern in Joburg seeks a highly technical Data Engineer whose core role will be to drive, design ETL systems for a Big Data warehouse to implement robust & trustworthy data to support high performing algorithms, predictive models and support real-time data visualisation requirements across the organisation experience and understanding in designing and developing data warehouses according to the Kimball methodology processes. SQL development experience, preferably SAS data studio and AWS experience including in-depth knowledge
Linux / Unix
- Big Data
- Powershell / Bash
- Cloud Data Hub (CDH)
- CDEC Blueprint
- Expertise in data modelling with Oracle SQL.
- Exceptional analytical
complex data sets.
- Thorough testing and data validation to ensure the accuracy of data transformations
Knowledge of data formats such as Parquet, AVRO, JSON, XML, CSV, etc.
- Experience with Data Quality
APIs.
- Experience building data pipelines using AWS Glue or Data Pipeline, or similar platforms.