My client based in Plattekloof (Northern Suburbs) is currently looking for a Data Engineer to join them on a permanent basis.
IT / Finance
Responsibilities
- Work directly with internal customers to identify their requirements
- Develop robust data models and gather feedback to refine solutions
- Deliver products through internal APIs or dashboards
- Complete projects within the required timelines with minimal supervision from senior Technical Software Development team members
- Effectively communicate data insights and promote data products to stakeholders and customers
- Build strong relationships and positively represent our team within the organization.
- Identify and develop novel data products that provide value to the organization
- Stay current on the business’s needs and challenges
- Create data models for complex business processes using standard database tools and software
- Ensure models promote flexibility, ease of consumption, and software performance
- Develop visualizations and charts using business intelligence software to help end users and non-experts interpret data
- Promote the use of analytics products within the organization through documentation and customer notifications of new releases
- Design and code ETL processes to combine data from diverse sources;
- Ensure data quality through automated testing, sampling, and beta testing
- Make informed decisions about data management, such as choosing between stream processing and batch processing
- Justify the management of historical data in databases
Experience
- Bachelor of Science in a quantitative field (e.g., engineering, computer science, mathematics, physics).
- Preferably a master’s or other advanced degree.
- Minimum of 2 years of experience in quantitative discipline (e.g., software engineering) or equivalent postgraduate experience.
- Prior experience in writing and delivering software
- Required scripting experience with SQL database and Python language.
- Excellent written and verbal communication skills.
- Preferably, experience in the upstream oil and gas industry, particularly in oilfields and drilling.
Competencies
- Proficiency in a general-purpose programming language and database query language.
- Experience with business intelligence software and ETL tools such as Power BI, Tableau, and Databricks.
- Open to any Business Intelligence Software experience.
- Knowledge of statistics, algebra, and calculus for producing high-quality data visualizations.
- Desired advanced knowledge in algorithms, software design, and/or machine learning.
- Demonstrated experience in delivering software products within an agile development environment.
If you are ready for the next exciting step in your career, and would like to apply, please send us your updated CV to review
Desired Skills:
- Data engineering
- SQL
- Python
- Statistics
- Software Engineering
- Agile