Data Engineer needed at Santam Insurance

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