Data Engineer

Tenth Revolution Group; Gauteng; On-site; ZAR 600,000 - 900,000; Full time

Job summary

Tenth Revolution Group in South Africa seeks a Data Engineer to build scalable, secure data pipelines and support analytics. You will work in an agile team, designing infrastructure that handles large data volumes both in batch and real time, leveraging cloud technologies.

Responsibilities include creating data feeds from on-premise to AWS, developing ETL processes with tools like Hadoop/EMR, and delivering data architectures that enable BI insights for business needs.

Qualifications

• Bachelor’s Degree in Computer Science, Computer Engineering, or equivalent.
• AWS Certification.
• Extensive knowledge in different programming or scripting languages.
• 5+ years Data engineering or software engineering experience.
• 2+ years Big Data experience.
• 2+ years’ experience with Extract Transform and Load (ETL) processes.
• 2+ years AWS experience.
• 5 years demonstrated experience with object-oriented design, coding and testing patterns.

Responsibilities

• Architects Data analytics framework.
• Translates complex functional and technical requirements into detailed architecture, design, and high performing software.
• Leads Data and batch/real-time analytical solutions leveraging transformational technologies.
• Drives user story analysis and elaboration, design and development of software applications, testing, and builds automation tools.
• Development and Operations.
• Database Development and Operations.
• Policies, Standards and Procedures.
• Business Continuity & Disaster Recovery.
• Research and Evaluation.
• Creating data feeds from on-premise to AWS Cloud.
• Support data feeds in production on break fix basis.
• Creating data marts using Talend or similar ETL development tool.
• Processing data using the Hadoop paradigm particularly using EMR, AWS’s distribution of Hadoop.
• Develop for Big Data and Business Intelligence including automated testing and deployment.

Skills

Programming languages

Big Data

Data modelling

Distributed systems

ETL

Education

Bachelor’s Degree in Computer Science/Engineering

AWS Certification

Tools

EMR

Hadoop

Talend/ETL tools

Job description

The Data Engineer’s role entails building and supporting data pipelines of which must be scalable, repeatable and secure. This role functions as a core member of an agile team whereby these professionals are responsible for the infrastructure that provides insights from raw data, handling and integrating diverse sources of data seamlessly. They enable solutions, by handling large volumes of data in batch and real-time by leveraging emerging technologies from both the big data and cloud spaces. Additional responsibilities include developing proof of concepts and implements complex big data solutions with a focus on collecting, parsing, managing, analysing and visualising large datasets. They know how to apply technologies to solve the problems of working with large volumes of data in diverse formats to deliver innovative solutions. Data Engineering is a technical job that requires substantial expertise in a broad range of software development and programming fields. These professionals have a knowledge of data analysis, end user requirements and business requirements analysis to develop a clear understanding of the business need and to incorporate these needs into a technical solution. They have a solid understanding of physical database design and the systems development lifecycle.

Responsibilities

• Architects Data analytics framework
• Translates complex functional and technical requirements into detailed architecture, design, and high performing software
• Leads Data and batch/real-time analytical solutions leveraging transformational technologies
• Works on multiple projects as a technical lead driving user story analysis and elaboration, design and development of software applications, testing, and builds automation tools
• Development and Operations
• Database Development and Operations
• Policies, Standards and Procedures
• Business Continuity & Disaster Recovery
• Research and Evaluation
• Creating data feeds from on-premise to AWS Cloud
• Support data feeds in production on break fix basis
• Creating data marts using Talend or similar ETL development tool
• Processing data using the Hadoop paradigm particularly using EMR, AWS’s distribution of Hadoop
• Develop for Big Data and Business Intelligence including automated testing and deployment

Requisite Experience, Education, Knowledge and/ or Skills

• Bachelor’s Degree in Computer Science, Computer Engineering, or equivalent
• AWS Certification
• Extensive knowledge in different programming or scripting languages
• Expert knowledge of data modelling and understanding of different data structures and their benefits and limitations under particular use cases
• Capability to architect highly scalable distributed systems, using different open source tools
• 5+ years Data engineering or software engineering experience
• 2+ years Big Data experience
• 2+ years’ experience with Extract Transform and Load (ETL) processes
• 2+ years AWS experience
• 5 years demonstrated experience with object-oriented design, coding and testing patterns as well as experience in engineering (commercial or open source) software platforms and large-scale data infrastructures