co. za Data Engineers are responsible for building and maintaining Big Data Pipelines using Data Platforms Platforms. Data Engineers are custodians of data and must ensure that data is shared in line with the information Py Spark. Boto3. ETL. Docker. Linux / Unix. Big Data. Powershell / Bash. Salary Market Related
co. za Data Engineers are responsible for building and maintaining Big Data Pipelines using Data Platforms Platforms. Data Engineers are custodians of data and must ensure that data is shared in line with the information Py Spark. Boto3. ETL. Docker. Linux / Unix. Big Data. Powershell / Bash. Salary Market Related
Ability to develop in Data Drive Programming languages such as Python and Big Data pipelines such as ETL calculations from a developer perspective. Expertise in Data Intelligence and Business Intelligence. Knowledge experience. At least 3 years' experience building big data pipelines (ETL, SQL, etc). Salary Market Related
Ability to develop in Data Drive Programming languages such as Python and Big Data pipelines such as ETL calculations from a developer perspective. Expertise in Data Intelligence and Business Intelligence. Knowledge experience. At least 3 years' experience building big data pipelines (ETL, SQL, etc). Salary Market Related
Ability to develop in Data Drive Programming languages such as Python and Big Data pipelines such as ETL
Ability to develop in Data Drive Programming languages such as Python and Big Data pipelines such as ETL
VDI Deployment. Understanding CA Data Management / Follow the Data as an VDI deployment approach. Driving Any operating system certification relating to data management. Any programming certification. Any web
Gathering test data from respective business departments and can define requirements of the data extractors
performance and worked with Software installation Capture tools. Experience in optimisation of functional
modules for Integration requirements. Preparing test data and documentation, Conducting Unit tests, Regression