Amazatic is a digital transformation services provider working with global brands aiding on their journey to digital transformation. Amazatic offers a suite of services around user experience, automation, analytics, and mobility that in turn helps businesses become more efficient and improves profitability.

Responsibilities:

This section should paint a picture of what good looks like.  Perfect delivery, aspirations and challenges, vision etc.  Please do not list the tasks the person may be required to do.

• Must be able to work proactively with minimal support from start to finish on a project
• Must be able to quickly assess data and make recommendations as to whether projects aspirations can be met given the breadth and depth of the dataset available.
• Work proactively with business stakeholders to advise and implement the use of data science to solve problems and build data solutions.  
• The ability to adapt and innovate during the course of a project in order to deliver successful outcomes is essential.
• Must be able to communicate with and work confidently with both internal and external clients as appropriate ensuring the client is left with a good level of confidence in the expected output and how to interpret it.

The skills required:

This should describe particular skills and experience needed for the role.

Required Technologies

• Python
• SQL
• Azure Data Factory
• Azure Synapse
• Docker
• Containers
• Github

Essential

• Ability to undertake a variety of activities with a substantial degree of personal responsibility and autonomy. It is important to be able to work independently within a team.
• Strong Organisational skills and must have the ability to manage multiple projects, as well as meet time constraints and expectations.
• Strong data modelling and SQL/database design skills.
• Strong Python knowledge
• Experience of using Azure data platforms (Data Factory, Synapse, etc)
• Skill and knowledge of ETL processes
• Good programming skills – specifically those used in the application of data science, e.g. SQL, R, Python, JavaScript etc.
• Strong conceptual and problem-solving skills
• Excellent numerical, analytical and statistics skills
• Experience using AI Toolkits, such as Synapse, Sagemaker, Databricks, Datarobot
• Experience of Natural Language Processing.
• Knowledge/Experience using data science technologies including predictive and prescriptive modelling techniques
• Experience in extracting and analysing data from 3rd party providers, e.g. google analytics, LinkedIn, Salesforce, Marketo etc. using API’s or other integration methods.
• Experience in visualising/presenting data and insights to stakeholders. Utilisation of BI tools such as Tableau and Power BI a distinct advantage.
• Effective verbal communication skills; strong analytical and technical writing skills
• Knowledge/experience of data mining and segmentation techniques.
• Excellent interpersonal skills; ability to work as part of a multi-disciplinary team with minimal supervision.  This is especially important as the team are a mix of office-based and home workers.
• Degree level qualification in computer science or related subject.

Desirable

• Intermediate to advanced Power BI skills
• Knowledge/experience of visualisation tools such as D3.js
• Project management experience, as a minimum the ability to manage delivery of work within stated timeframes

• 5 to 6 Years of experience in Data Engineering
• Graduate/Postgraduate degree in computers.