Our Client a Global tech firm is seeking 2 Senior Data Engineers to join their team in Rivonia on a contract basis (Hybrid). They offer stability, growth, attractive rates and a great working environment.

The Data Engineer will be responsible for developing, maintaining, and testing infrastructures for data generation. This role involves building and maintaining optimal data pipeline architectures, assembling large, complex data sets, and ensuring that data is readily available to data scientists, analysts, and other users.

Responsibilities

• Deep understanding of the data-construct is essential as well as insight on the interpretation.
• An ability to make data an asset in these ventures will be critical.
• Create and maintain optimal data pipeline architecture.
• Assemble large, complex data sets that meet functional/non-functional business requirements.
• Identify, design, and implement internal process improvements.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources.
• Build analytics tools that utilize the data pipeline to provide actionable insights into key business performance metrics.
• Work with stakeholders including data scientists, data analysts, and other teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.

Qualifications

• NQF Level 6 Qualification in Computer Science or Information Technology.
• 10 years of practical development experience.

Required Technical Exposure

• Advanced SQL
• Advanced Data Analysis
• Database skills and understanding of DB tables relationships.
• Data Modelling
• Advanced Excel (including advanced function, pivot tables )
• Data Governance principles
• Understanding of ETL Processes
• Extensive skill in Data Analysis and Modelling
• Knowledge of, and experience in Loan IQ
• Back-end on MSSQL (considering PostgreSQL in due course)
• Azure 
• Abinitio / Connect Direct, Denodo

Contact information

Ashley Singh