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Data Engineer
Job Ref
284325
Job Type
Permanent
Employer Type
Company
Date Added
29 Jun 2021
Expiry Date 27 Jul 2021
Expiry Date 27 Jul 2021
* There have been 5 applications to this job.
* This job has been viewed 5234 times.
Employer:
SA Taxi
Location:
Gauteng
Salary:
Market related
Benefits:
Role details:
Located: Midrand
MAIN PURPOSE:
To build and maintain the Extraction, Transformation and Loading (ETL) data process from multiple source systems and technologies into and out of a datawarehouse to support the reporting and analytics teams, and operations across the business. This role will include building and maintaining data transfer pipelines for system external to the datawarehouse (eg. System migrations). This role will extend to monitoring and improving the data quality through improvements in ETL processes and enriched datasets.
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ACCOUNTABILITIES:ETL Process:
Maintain, implement and monitor ETL Process for optimisations and integrity of data
Ensure efficiency and best use of resources for import (and export) routines
Ensure accuracy and optimal structure of data in extraction and storage processes
Continually review process and make enhancements for efficiency and accuracy
Summation and aggregation of data:
Provide aggregated datasets to business departments to simplify reporting
Extract detailed datasets and create data pipelines for system migrations and data transfers to external systems
Manage resources to avoid continual reprocessing of the same dataset for the same outputs
Support to reporting teams:
Provide support to business information team in understanding datasets
Implement and maintain new datasets and fields in ETL process to support reporting requirements
Monitor and review processes:
Review and monitor existing process and data structures with a view to continually enhancing existing structures and processes
SKILLS / EXPERIENCE REQUIRED:
Bachelor of Science degree (Computer Science) or equivalent
3-4years applicable work experience in SQL, relational databases and data manipulation
ETL Tools: SSIS
Experience/exposure to Cloud Data warehousing advantageous