Advanced Data Streaming Platform Specialist. Focus on innovative IT solutions in SAP, Java, Cloud, Data Analytics and managing applications on Kubernetes clusters - Data modeling and Database technologies (relational,
market to cleanse and enrich prospective customer data, including points of contact, contact details, current
project. The focus in more on the following: Data analytics Data Reconciliations Table Mappings Source to end outputs Data Manager Lead Define Data Lineage Transform Data Can create scripts Raise Data Quality Issues Issues Drive Resolution of data issues Facilitate business requirements on data vs what is on the system/application
the job:
Reference: PTA002937-CB-2 As a Data Analytics Specialist, you will be at the forefront of employing leading our client's data-driven culture, helping the business to generate meaningful value from data. To partner analytical and data-driven solutions. Build a deep contextual understanding of the business and the data to design meaningful business value. Work closely with the data provisioning team to ensure they can provide the consistent, and context-rich data assets that the team requires for data use cases. Create algorithms
/>- Linux / Unix
- Big Data
- Powershell / Bash
- Cloud Data Hub (CDH)
- CDEC Blueprint
- Technical data modelling and schema design ("not drag and
Knowledge of data formats such as Parquet, AVRO, JSON, XML, CSV, etc.
- Experience working with Data Quality
REQUIREMENTS:
- Demonstrate expertise in data modelling Oracle SQL.
- Exceptional analytical
complex data sets.
- Perform thorough testing and data validation to ensure the accuracy of data transformations
Hybrid in Gauteng Data integration expert needed for a Fund Accounting channel within a large Financial
/>3 + years of experience in financial data integration
Data management and Fund Accounting
Exp
fund accounting is highly desirable
Exp with data integration tools and software
Familiarity
ASISA
Instrument formats
Exp with data lakes and data manipulation techniques
SQL, Python
including company data, public information, and purchased sources.
Purpose: 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. Job
maximum efficiency. Define both physical and logical data security rules and establish usage standards for and capacity planning. Create databases and deploy data on physical media, AZURE DaaS, or Private Cloud including inventory and capacity planning. Ensure data availability and quality by maintaining and enhancing to ensure efficient data access. Administer user access permissions and address data security concerns backup systems to maintain data integrity, including archiving and purging data as necessary. Establish