Data Engineer

The Data Engineer will provide strategic technology input and be responsible to build, maintain and implement a world class data science platform and systems that will enable and empower the advanced analytics capability to deliver on its strategic mandate; delivering insights, models, and data products to the business to drive better business outcomes and customer engagement.

Responsibilities and Requirements:
● Programmatically create infrastructure in AWS by designing, developing and scaling infrastructure-as-code. Ensure the systems are highly available and resilient.
● Build scalable and secure data mart and pipelines, often performing complex calculations with massive volumes of data from various sources to summarise various entity dynamics.
● Enable the delivery of new code and infrastructure changes through Continuous Integration and Deployment Pipelines.
● Guiding Business Intelligence architecture users on the journey towards Cloud-based solutions.

Minimum Qualifications & Experience:
• Bachelor's degree or equivalent combination of education and experience.
• 1-3 Years Python, Spark, PySpark
• 3 to 5 years’ experience in software engineering with a focus on serverless applications.
• Proven experience of core AWS services and features (AWS Lambda, Amazon Athena, AWS Step Function etc)
• ‘AWS DevOps Engineer – Professional’ or ‘AWS SysOps Administrator – Associate’ is advantageous.
• Understanding of Advanced Analytics/Data Science platforms

Our focus is in the delivery of proven, best-practices-based industry solutions so that you can focus on delivering more value to your business. Our expertise ranges from best-of-breed and best-in-class solutions from the most reputable software and technology vendors in the industry. iNTELLiNEXUS brings these various facets together with a variety of solutions to enable organisations to thrive long into the future.