Data Engineer at JD Group

Introduction...

JD Group is looking for an energetic individual to join our dynamic team.

We are looking for Data Engineer who will be 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.

Minimum Requirements:

• A relevant qualification in Information Technology.
• Post graduate degree (advantageous).
• At least 5-10 years’ data engineer experience.
• 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.
• Strong networks and knowledge of emerging trends across Data/Analytics (Big Data, Machine Learning, Deep Learning, AI)
• Expert knowledge of complex IT environments (technical, security, business)
• Knowledge of technology and SDLC and Agile methodology
• Knowledge of retail industry data models
• Advanced knowledge of compliance and IT governance
• General SAS experience

Competencies Requirements for the position:

• Data Architecture, Data Modelling and Data Pipelining
• Solutions Architecture
• Model Testing skills
• Conflict management
• Presenting and communicating information
• Adapting and responding to change
• Stakeholder management
• Excellent written and verbal communication skills
• Learning and Researching
• Planning and Organising
• Delivering results and meeting customer expectations
• Problem solving
• Coping with Pressures and Setbacks
• Analysis and Judgement
• Personal resilience
• Achieving Personal Work Goals and Objectives
• Customer orientation
• Team player
• Excellence orientation
• Responsibility and Accountability
• Innovative

Key Dials:

• Systematic solution design of the ETL and data pipeline in line 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.