Data Engineer
6 days ago
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- Job by industries
What will you do?
- Santam Ltd has a vacancy within the Group Underwriting division for a Data Engineer. The role reports to the Head: Data Analytics and will ideally based in Belville, Cape Town.
What will make you successful in this role?
Qualifications & Experience
- Bachelor’s degree in computer science, Data Engineering, Information Systems, Science/Statistics/Applied Statistics/Applied Mathematics (Postgraduate preferable)
- 5-7 years practical experience in an Data engineering, BIBA, ETL development, analytical/quantitative environment or any other relevant field.
Skills
- Strong programming skills (SQL essential, SAS, Python and/or R highly desirable, Spark, Java)
- Data Pipeline Development: Design, build, and maintain efficient, scalable data pipelines using SAS, SQL, and cloud technologies. Ensure smooth extraction, transformation, and loading (ETL) of data from multiple sources into Snowflake or other data repositories.
- Data Modeling: Create and optimize data models to support underwriting analytics, and machine learning initiatives using tools such as SAS Viya and SQL.
- Cloud Data Integration: Implement and manage cloud-based data solutions, particularly with Amazon S3 and Snowflake, ensuring seamless integration of cloud services for data storage, processing, and analysis.
- SAS Viya Expertise: Leverage SAS Viya to process and analyse large datasets and support data-driven decision-making processes across the organization.
- Software Development Lifecycle (SDLC): Apply best practices in SDLC to manage data engineering projects, including version control, testing, and continuous integration (CI) and deployment (CD) processes.
- Automation and Optimization: Automate data processing workflows and optimize ETL pipelines for performance, ensuring reliable and timely delivery of data to users and applications.
- Collaboration: Work closely with cross-functional teams, including data scientists, business analysts, and stakeholders to understand business needs and translate them into technical solutions.
- Data Governance and Quality: Implement data governance frameworks to ensure data integrity, quality, and compliance. Regularly monitor and maintain data pipelines to prevent errors and ensure high availability of data.
- Communication
- Problem-solving
- Creativity
- Curiosity
- Financial acumen
Competencies
- Client Focus
- Collaborates
- Cultivates Innovation
- Drives results
- Flexible and adaptable
- IT Data Analysis
- Data Collection
- Advanced analytics to address business requirements
- New technologies and methodologies
- Stakeholder management
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