Description:
Key Responsibilities:Data Collection and Ingestion
Collect data from multiple internal and external sources (files, APIs, manual submissions, system exports). Prepare and ingest data into SQL databases using defined processes. Support migration of data workflows to Azure-based services. Data Processing and Transformation
Cleanse, standardise, and transform raw data into structured formats. Map incoming data to existing database schemas and business definitions. Apply business rules and transformation logic consistently. Data Quality and Validation
Validate data for accuracy, completeness, consistency, and timeliness. Identify and resolve data quality issues at source. Maintain validation checks and reconciliation processes. Flag anomalies, trends, or risks in incoming datasets. Database and Data Management
Query, validate, and maintain data in SQL databases. Assist with schema updates, documentation, and data dictionary maintenance. Ensure data integrity across historical and incremental loads. Documentation and Process Improvement
Document data sources, mappings, transformation rules, and validation logic. Continuously improve data ingestion and data quality processes. Support automation initiatives to reduce manual data handling. Stakeholder Support
Work with analysts, reporting teams, and business users to resolve data queries. Provide trusted datasets for reports, dashboards, and decision-making. Job Experience and Skills Required:
Degree in Information Systems, Data Analytics, Computer Science, or related field 14 years experience in a data, analytics, or systems support role Strong SQL knowledge (queries, joins, validation, reconciliation) Familiarity with ETL / ELT processes and data pipelines.Apply now!
12 Feb 2026;
from:
gumtree.co.za