Analytics Engineer I at Shoprite Group of Companies

Purpose of the Job    

• The Analytics Engineer I is an emerging data engineering professional who will kick start their careers by supporting the analytics engineering team to build and model data into robust, integrated and efficient data products that delivers best-in-class use case led analytics across the organisation.
• The role works under the guidance of the analytics engineering team to build data products and pipelines for high impact projects that delivers scale and automation and improves data availability and quality.
• The Analytics Engineer I has a passion for developing their skills in the art of data engineering, applying their technical and analytical skills to deploy data models that are fully understood and built to deliver business value and drive data as a competitive advantage

Job Objectives    

• Under the guidance of the Lead Analytics Engineer / Team, build data and feature marts for consumption by the data analyst, scientist, and machine learning communities.
• Set up monitoring, testing and automation procedures of data artifacts.
• Execute business requirements into fit-for-purpose, robust and scalable data solutions.
• Organise and transform data in a meaningful way and provide additional context as necessary so that it is ready for analysis.
• Execute standard testing procedures and routine monitoring of datasets.
• Maintain documentation related to datasets and analysis, ensuring the same language and definitions are applied.
• Productionisation of data products.
• Provide firstline data pipeline support.
• Support with refining scripts and procedures to improve and maintain standard guidelines of the data pipeline process.
• Collaborate across teams to address and improve data quality at the source.
• Support with the enablement and adoption of software engineering best practices.
• Provide standard data modelling support to various teams through code reviews and training.

Qualifications    

• Degree or Diploma in a Computer Science, Engineering, Mathematics or a related field – (essential). 

Experience    

• 1 years’ experience working as part of a data team, with exposure to the productionisation of data science models / building and optimising data pipelines, architectures and data sets or similar –(essential).
• Experience working within and across a multifunctional team – (desired).

Knowledge and Skills    

• Basic knowledge of SQL – (essential).
• Exposure to working with large data sets and business models – (desired).
• Proficiency in AWS cloud computing-based Python / PySpark - (desired). 
• Exposure to and comfortable with adopting software engineering best practices including version control – (desired).