Data Specialist at NTT Ltd.

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.

The role is responsible for developing machine learning methods with the company’s data assets to optimize business and operational decisions. The individual identifies, designs and implements a sound architecture to support the predictive analytics requirement of the business.

Key roles and responsibilities:

• Provide detailed advice regarding data applications and executing specialised tasks
• Create databases 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, transformation of data from a wide variety of data sources using SQL and AWAD big data technologies
• 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 thorough 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 proriotisation 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
• Demonstrate the ability to plan and organise
• Ability to develop and nurture improved performance across sales and/or service
• Proficient with statistical analysis tools like R, SAS, SPSS
• Analytical mind and business acumen
• 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

Academic qualifications and certifications:

• Relevant qualification (Bachelor’s in computer science, information technology or applied math)
• Relevant certification, 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 that delivers insight from large and complex data sets with multi-terabyte scale
• Programming experience in any applicable language, preferably .NET
• Good experience working with SQL, MySQL databases and Microsoft SQL
• Experience working with data sets and ordering data through MS Excel functions, e.g. macros, pivots
• 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