Job
Data Capture is responsible for accurately entering, Verifying and maintaining data in electronic the client WRT to accurate data information.
3. Data Entry
4. Data Verification
5. Data Maintenance
years' experience in data engineering
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
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maintenance of data pipelines, providing support to the data squads including performing data related tasks (such as data profiling, data cleaning, data configurations, data support, data validation, data quality assurance) in a Data Epic and assisting in basic data pipelines, data ingestion and supporting Data Engineers Engineers in their Epics.
ETL
- Docker
- Linux / Unix
- Big Data
- PowerShell / Bash
Advantageous
Expertise in data modelling with Oracle SQL
- Analytical skills for large and complex data sets
-
/>- Thorough testing and data validation
- Strong written and verbal communication
- Ability
(Confluence, JIRA, etc.)
- Knowledge of Cloud Data Hub (CDH) and CDEC Blueprint
- Development
Knowledge of data formats (Parquet, AVRO, JSON, XML, CSV, etc.)
- Experience with Data Quality Tools
Join the home of the changeables as an Intermediate Data Scientist implementing designs for the shapeshifters SQL queries to extract, manipulate, and analyse data from relational databases efficiently. Strong analytical Proficiency in data manipulation techniques using coding languages like SQL, Python or R, including data cleaning ability to tackle complex business problems using data-driven approaches, with a focus on continuous improvement Statistics or similar 4-6 years of experience as a Data Scientist Experience in SQL, SAS and Power BI Have
Linux / Unix
- Big Data
- PowerShell / Bash
- Cloud Data Hub (CDH)
- CDEC Blueprint
data formats such as Parquet, AVRO, JSON, XML, CSV, etc.
- Experience working with Data Quality
REQUIREMENTS:
- Demonstrated expertise in data modelling with Oracle SQL.
- Exceptional analytical
complex data sets.
- Perform thorough testing and data validation to ensure the accuracy of data transformations
multi-task.
- Experience building data pipelines using AWS Glue or Data Pipeline, or similar platforms.
Excellent opportunity for a highly experienced DATA ANALYST experience in Auditing. Matric (Essential) generating reports and dashboards A minimum of 2-3 years' data analysis experience Experience in the insurance generating reports and dashboards A minimum of 2-3 years' data analysis experience Working experience in Auditing
Join the home of the changeables as a Senior Data Scientist implementing designs for the shapeshifters SQL queries to extract, manipulate, and analyse data from relational databases efficiently. Strong analytical Proficiency in data manipulation techniques using coding languages like SQL, Python or R, including data cleaning ability to tackle complex business problems using data-driven approaches, with a focus on continuous improvement Statistics or similar 5 years of experience as a Data Scientist Experience in SQL, SAS and Power BI Have