opportunity for a Data Analyst / Data Scientist in a Sage X3 ERP environment. Data gathering, cleansing cleansing, analysis, presentations Data interpretation Data Visualisation Descision support Report writing charge organisation with valuable insights into data resources Min Qualifications – Degree in Maths /
insurance clients is looking for an experienced Data Scientist to join their team. You will work with client is looking for someone that has ML and Big Data experience. We require a candidate with: BSc/BCom
br />
a Testing client is looking for a skilled Junior Data Analyst for their Johannesburg and Durban offices of competency. Experience 1 - 2 years' relevant data analysis experience in a professional working environment
scouting for a Senior Data Engineer. You will be responsible for developing high quality data warehouse solutions in an Azure environment using Synapse, Data Lake, Azure Data Factory, Wherescape and PowerBI The groups similar fields like Information Systems, Big Data Azure Data Engineer Certification would be advantageous ADF and Data Lake Experience in developing data warehouses and data marts Experience in Data Vault and DataOps environment Experience working with automated data warehousing solutions would be advantageous Minimum
and global reach. We are seeking a talented AWS Data Engineer to become a crucial part of their dynamic to guarantee the accuracy of data transformations. Build resilient data pipelines, leveraging platforms platforms like AWS Glue or Data Pipeline. Craft precise specifications to direct the development, testing, Harness expertise in Oracle SQL, showcasing prowess in data modeling. Create technical documentation and artifacts comprehensively. Employ Data Quality Tools like Great Expectations to maintain data integrity at all levels
organisational capabilities with agile, modern, data-driven solutions and services built according to and beyond expectations are recruiting for an AWS Data Engineer to join an environment with cutting edge expertise in data modelling. Develop technical documentation and artefacts. Knowledge of data formats such Parquet, AVRO, JSON, XML, CSV etc. Working with Data Quality Tools such as Great Expectations. Developing Building data pipelines using AWS Glue or Data Pipeline, or similar platforms. Familiar with data stores
management system (DBMS) Set up, maintain reporting and data integration processes using SSRS, SSIS and SSAS relational database structure / architecture Oversee all data generated, monitor server transaction speeds, and
complex data sets to identify patterns, trends, and insights
ong>
Maintain client and market reference data for financial instruments and their valuations across
across various investment classes. Ensure data quality and integrity for accurate regulatory reporting
and client reporting. Troubleshoot and resolve data issues, particularly related to pricing impacts
market reference data, classifications, and valuations.
- Maintain client reference data and ensure accurate
improve data processes.
- Lead and coordinate a team of data analysts.
- Ensure data accuracy