Data Engineer

6 days ago


Bellville, South Africa Santam Insurance Full time
Job title : Data Engineer Job Location : Western Cape, Bellville Deadline : December 25, 2024 Quick Recommended Links
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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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