Senior Data Engineer Lead
7 days ago
We are E-Merge, a leading company in the retail industry seeking a highly skilled Senior Data Engineer to join our team. This is a permanent hybrid position in Johannesburg.
The salary for this position is approximately R950k per annum, negotiable based on experience.
As a Senior Data Engineer at E-Merge, you will be responsible for designing and developing scalable ETL systems for our big data warehouse. Your primary goal will be to implement robust & trustworthy data to support high-performing ML algorithms, predictive models, and real-time data visualization requirements across the organization.
Your key responsibilities will include:
- Ensuring highest data quality assurance, data accuracy, and data completeness through regular and in-depth review and testing of work
- Conducting data design, database architecture, metadata, and repository creation activities as required by business stakeholders
- Translating business needs into long-term architecture solutions
- Defining, designing, and building dimensional databases
- Designing the ETL pipelines and implementing them in a timely manner
- Responsible for developing data warehousing blueprints, evaluating hardware and software platforms, and integrating systems
- Utilizing consistent data sources resulting in one version of the truth
- Delivering on standard data marts that can be utilized for reporting and analysis, well-documented, and understood by business users
- Translating metadata into explanatory reports and visuals for easy understanding by end-users
For this role, we require:
- A 3-year IT-related degree or postgraduate qualification (advantageous)
- 5-10 years of experience and understanding in designing and developing data warehouses according to the Kimball methodology
- Adept at designing and developing ETL processes, with SQL development experience, preferably SAS data studio, and AWS experience
- The ability to ingest/output CSV, JSON, and other flat file types, along with any related data sources
- Proficiency in Python or R or willingness to learn
- Experience within Retail, Financial Services, and Logistics environments
- Strong networks and knowledge of emerging trends across Data/Analytics (Big Data, Machine Learning, Deep Learning, AI)
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