Data Engineer

Introduction

Responsible for driving, designing and building scalable ETL systems for a big data warehouse to implement robust & trustworthy data to support high performing

ML algorithms, predictive models and support real-time data visualisation requirements across the organisation to enable self-help analytics.

Roles And Responsibilities

• Systematic solution design of the ETL and data pipeline inline with business user specifications
• Develop and implement ETL pipelines aligned to the approved solution design
• Ensure data governance and data quality assurance standards are upheld
• Deal with customers in a customer centric manner
• Effective Self-Management and Team work

Minimum Requirements

• 3 year IT related degree
• Post graduate qualification (advantageous)
• 5-10 years’ Experience and understanding in designing and developing data warehouses according to the Kimball methodology.
• Adept at design and development of ETL processes.
• SQL development experience, preferably SAS data studio and AWS experience
• The ability to ingest/output CSV, JSON and other flat file types and any related data sources.
• Proficient in Python or R or willingness
• to learn. Experience within Retail, Financial Services and Logistics environments.