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Deloitte is one of the country's leading professional services firms in Southern Africa, and is dedicated to assisting companies succeed in the business environment- whether it be through our tax, audit, consulting or financial advisory services. At Deloitte, we understand that solutions are not just a static one dimensional report, but rather, an integrated...
Job Description
Main Purpose of Job
As an AWS data engineer in our Data Analytics practice, we are looking for people who are passionate about data and technology solutions, are driven to learn about them and keep up with market evolution. You will play an active role throughout the entire engagement cycle, specializing in modern data solutions including data ingestion/data pipeline frameworks, data warehouse & data lake architectures, cognitive computing and cloud services. You will bring your enthusiasm about all things data, have strong problem-solving and analytical skills, are tech savvy and have a solid understanding of software development.
Specifically, in this role, you will:
- As part of a team implement end-to-end modern data platforms in support of analytics and AI use cases
- Collaborate with enterprise architects, data architects, other ETL developers & engineers, data scientists and information designers to lead identification and definition of required data structures, formats, pipelines, metadata, and workload orchestration capabilities
- Address aspects such as data privacy & security, data ingestion & processing, data storage & compute, analytical & operational consumption, data modelling, data virtualization, self-service data preparation & analytics, AI enablement, and API integrations
- Estimate effort and mentor junior colleagues
- Participate in technical meetings with client staff, and advise client with technical option analyses based on leading practices
- Working as a data engineer on AWS but also on other technologies.
Specialized Competencies:
Supports Data Analytics team in the implementation of client delivery on specific engagements and applies deep knowledge of technology to drive continuous improvement.
Behavioural Competencies:
- Good communication skills, both written and verbal
- Interpersonal and relationship building skills
- Desire to develop self
- Client delivery focus
- Adaptable
- Focus on quality
- Problem solving ability
- Analytical
Qualifications
Qualifications & Experience required
- Bachelor’s Degree (or higher) in quantitative areas such as Computer Science, Information Management, Big Data & Analytics, or related field is desired.
- One or more of the following AWS certifications is required:
- AWS Solutions Architect – Associate/Professional
- AWS Data Analytics
- AWS Machine Learning
- AWS Developer
- 3+ years’ experience in implementation of creative data solutions leveraging the latest in Big Data frameworks, supporting on-premise or AWS cloud to enable use cases in analytics and AI
- 3+ years’ experience with extraction, transformation and loading of data from a wide variety of traditional and non-traditional sources such as structured, unstructured, and semi-structured using SQL, NoSQL and data pipelines for real-time, streaming, batch and on-demand workloads
- 3+ years’ experience with data warehousing or data lakes.
- Ability to simplify complex technical concepts into easy-to-understand non-technical language in order to facilitate, communicate and interact with executives and business stakeholders, working with Agile development methods in data-oriented projects
Additional Information
*Please note that this job advertisement provides a summary of the capabilities required and all candidates shortlisted will receive a full list of capabilities