Data Engineer

NTT is a leading global IT solutions and services organisation that brings together people, data and things to create a better and more sustainable future.

In today's 'iNTTerconnected' world, connections matter more now than ever. By bringing together talented people, world-class technology partners and emerging innovators, we help our clients solve some of the world's most significant technological, business and societal challenges.

With people at the heart of our success, NTT is committed to attracting and growing the best talent and providing an environment where everyone feels they can belong and their contribution matters.

Your career here is about believing in yourself, and taking on great opportunities and new challenges.It's about growing your skills and expertise in your current role and preparing yourself for the future. That's why we encourage you to take every opportunity to grow your career within our great global team.

Are you ready to take the next step in your career?

The Data Engineer is responsible for the transformation of data into a structured format that can be easily analysed in a query or report. The role is responsible for developing structured data sets that can be reused or compliment other data sets and reports. The individual analyses the data sources and data structure and will design and develop data models to support the analytics requirements of the business which includes management / operational / predictive / data science capabilities.

What you'll be doing

The Data Engineer is tasked with transforming data into a format that can be easily analysed, by developing, maintaining and testing infrastructures for data generation. Additionally the Data Engineer will design and implement data pipelines and accompanying architecutres to apply models and transformations built by the data scientist.

Key roles and responsibilities:

• Provide detailed advice regarding data applications and executing specialised tasks
• Create Databricks optimised for performance and to structure data to enable analysis thereof
• Provide support and assistance on data initiatives and ensure optimal data delivery architecture in support of client project
• Build the infrastructure for optimal extraction and transformation of data from a wide variety of data sources
• Design and develop scalable ETL packages from the business source systems
• Develop the ETL routines in order to populate data from sources
• Build test scenarios to enable testing and validation to support accuracy of data transformation
• Enable and run data migrations across different databases and different servers
• Define and implement data stores based on system and consumer requirements
• Assess, analyse, develop, document and implement changes based on requests for change
• Assess and analyse release components
• Modelling tests in coordination with testers maintaining and administering the tools and methods
• Ensuring information exchange with configuration management
• Ensure release processes and procedures are maintained
• Investigates operational needs and problems, and opportunities, contributing to the recommendation of improvements in automated and non-automated components of new or changed processes and organisation
• Defines and manages scoping, requirements definition and prioritisation activities for changes
• Investigates, manages and applies authorised requests for changes to base-lined requirements, in line with the change management policy
• Interprets installation standards to meet project needs and produces database components as required
• Evaluate potential solutions, demonstrating, installing and commissioning selected products
• Apply ethical and robust techniques in the transformation of data from one format to another, in line with organisational policies and procedures
• Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the company
• Implement processes and systems to monitor data quality, ensuring production data is accurate
• Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues
• Test the reliability and performance of each part of new and/or existing systems
• Deploying machine learning models into the production environment

Knowledge, skills and attributes

• Maintains knowledge of specific specialisms related to Data Engineering
• Demonstrate the ability to plan and organise
• Analytical mind and business acumen
• Programming in Python with demonstrable understanding of software development
• Problem-solving aptitude
• Working knowledge or Power BI to create reports, dashboards and measures
• Knowledge of augmented analytics, data visulation, data virtualisation and data governance solutions and implementations
• Excellent problem solving and troubleshooting skills
• Highly process orientated with great documentation skills
• Strong working and conceptual knowledge of building and maintaining physical and logical data models
• Strong analytical skills related to working with unstructured datasets
• Ability to manipulate, process and extract value from large, disconnected datasets
• Strong project management and organisational skills
• Ability to work under pressure and meet deadlines
• Solid understanding of database design principles
• Excellent oral and written communication skills with a keen sense of customer service
• Ability to manage and communicate data warehouse plans to internal clients
• Working understanding of major cloud platform provider (at least one of Azure, AWS, Google etc)

Academic qualifications and certifications:

• Relevant qualification (Bachelor's in computer science, information technology or applied math or statistics)
• Relevant certification/s, e.g. Certified Data engineer, Certified Professional, etc)

Experience required:

• Proven experience working with data engineering, data mining within a fast-paced environment
• Experience in building modern data analytics solutions tha delivers insight from complex data sets
• Solid Programming experience in Python
• Good experience working with SQL, MySQL databases and Microsoft SQL
• Experience working in internet technologies, e.g. Saas, Iaas and Paas
• Experience with big data tools like Hadoop, Cassandra, Storm, Etc
• Experience with writing scripts using scripting language (Perl, bash, Shell, Scripting, Python, etc.)
• Experience in automation, scripting and proven examples of successful implementation
• Experience with architecture and design of secure, high available and scalable systems
• Experience building modern data analytics solutions that delivers insights from large and complex data sets
• Experience with architecture and design of secure, highly available and scalable systems
• Experience working in internet technologies

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Skills Summary

Big Data Solutions, Business Analysis, Data Analysis, Data Analytics, DATABASICS, Data Lake, Data Modeling, Data Structures, Unstructured Data

What will make you a good fit for the role?

Workplace type:

Join our growing global team and accelerate your career with us. Apply today.

A career at NTT means:

• Being part of a global pioneer – where you gain exposure to our Fortune 500 clients and world-leading global technology partners and work with a network of over 40,000 smart and diverse colleagues across 57 countries, delivering services in over 200 countries.
• Being at the forefront of cutting-edge technology – backed with a 150-year heritage of using technology for good. With 40% of the world's internet traffic running on our network and where Emoji were first invented, you can be proud of the group's many new 'firsts'.
• Making a difference – by doing meaningful work that helps to shape the future for our clients, and across industries and communities around the world.
• Being your best self – in a progressive 'Connected Working' environment that promotes flexibility, connection and wellbeing. Where diversity and different perspectives are embraced to ensure equal opportunities for all.
• Having ongoing opportunities to own and develop your career – with a personal and professional development plan and access to the broadest learning offerings in the industry.

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