- 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
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.
Our client requires the services of a Data Scientist/Engineer (Entry) – Midrand/Menlyn/Rosslyn/Home Office
PE010814-LM-1 The purpose of the Data Engineer is to leverage their data expertise and data related technologies technologies, in line with the company's 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 Bank's strategy to become a data driven organisation. Job
The purpose of the Data Engineer is to leverage their data expertise and data related technologies, in
in line with the companys 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
solutions around big data that support the Bank's strategy to become a data driven organisation.
as possible ROLE: Data Engineers are responsible for building and maintaining Big Data Pipelines using using GROUP Data Platforms. Data Engineers are custodians of data and must ensure that data is shared in line Boto3 ETL Docker Linux / Unix Big Data Powershell / Bash GROUP Cloud Data Hub (CDH) GROUP CDEC Blueprint Business Intelligence (BI) Experience Technical data modelling and schema design (“not drag and drop”) Boto3 ETL Docker Linux / Unix Big Data Powershell / Bash GROUP Cloud Data Hub (CDH) GROUP CDEC Blueprint
Requirements: Sound knowledge in Python and Java Data Science concepts and principles Experience in tools applications. Architecture and Interface Design. Data modeling and Database technologies (relational,
ESSENTIAL SKILLS REQUIREMENTS:
- Strong background in mathematics and good analytical and problem-solving skills
- Any additional responsibilities assigned in the Agile Working Model (AWM) Charter
- Languages: C#, Python, SQL, PL/SQL
- Scripting Languages: HTML,
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
Capture data Entry Filling Assist HR department Create new file Close open leads Uodate Database Grade12 Grade12 Mind 3 Years Admin Data Capture Drivers license Own transport R11 000