Senior BI Developer

Want to be a part of our team?

Dimension Data is a proud member of the NTT Group, a global IT powerhouse headquartered in Japan. As part of NTT, we deliver a wide range of IT services and solutions to clients around the world. Although the Dimension Data brand was retired in some parts of the world in 2019, it remains well recognized in the Middle East and Africa. Join us and become part of the NTT family as we continue to provide innovative solutions that help our clients achieve their business objectives.

Analyzes, designs, programs, debugs, and modifies software enhancements and/or new products used in local, networked, cloud-based, or Internet-related computer programs.

Code may be used in commercial or end-user applications, such as materials management, financial management, HRIS, mobile apps, or desktop applications products.

Using current programming language and technologies, writes code, completes programming, and performs testing and debugging of applications.

Completes documentation and procedures for installation and maintenance.

May interact with users to define system requirements and/or necessary modifications.

Working at NTT

As part of a growing team we need experienced Senior BI Developers to join us on a journey to Understand, Design and Build the FDLC (Full Development Lifecycle) of the client BI Solutions. This role will not only enable you to work with the best developers in the region, but also allow you to have input on key technical decisions that includes frameworks and tools being used into wider technical strategy/architectures.

Data Wrangling

Production experience building ETL / ELT / Pipelines using SQL, SSIS, Azure Data Factory, Azure Synapse

Must have:

At least 10+ years production experience in analysing and wrangling data

Preference to:

Production experience analysing and wrangling relational data sources (e.g. CSV, Excel, SQL, Oracle, PostgreSQL, MySQL)
Production understanding and mastery of the difference between Relational, Dimensional and Non-structured data and the modeling thereof.
Production experience transforming and conforming diverse data sources to business insights through collaborative Business Metrics and visible Data Lineage

Dimensional Modelling

Production experience building data warehouses and / or dimensional models using Kimball star-schema methodology on Microsoft technologies

Must have:

At least 10+ years production experience building data warehouses and dimensional data models from relational models

Preference to:

Production experience working with at least 3 modern modelling tools - on premise and / or in the cloud (e.g. MS SQL, Analysis Services, Power BI, Azure Synapse Analytics)
Production experience building star-schema dimensional data warehouses (e.g. SQL Server on Premise, Azure SQL variants, Azure Synapse Analytics)
Production experience building user friendly self-service Data Models using modern visualisation tools (e.g. Power BI, Analysis Services)
Production experience building developer friendly technical Data Models using modern visualisation tools (e.g. SQL Views, Analysis Services, Azure Synapse Analytics, Power BI Desktop, Power BI Service, Power BI Apps)
Production experience working with DAX modelling measures (e.g. Power BI, Analysis Services, DAX Studio, Tabular Editor or other external tools used with Power BI Desktop)
Production experience building Dashboards - particularly for dev-testing self-service or technical dimensional models and to engage peer and subordinate Report Writers and Dashboard Builders (e.g. Power BI Desktop, Excel)

Advantages

Technical:

Working knowledge with data from a variety of mainstream source systems (e.g. SAP, Oracle EBS, Salesforce, SharePoint, Dynamics 365, Office 365, SQL based Systems)
Working knowledge Master Data Management, Data Governance, Data Lineage
Working knowledge with public data, non-relational data, unstructured data, streaming data to enriching dimensional models
Working knowledge with Hybrid Cloud and non- Microsoft Azure Cloud (e.g. Google, AWS)
Working knowledge with related technologies (e.g. IoT, Edge, Big data, Data Lakes, Data Streaming, Advanced Analytics, Machine Learning, Artificial Intelligence, Robotics)
Experience building effective CI/CD tools and processes (ie.. Devops, Github)

Non-Technical:

Stakeholder influence: The ability to clearly communicate your work and ultimately provide confidence to drive change in a business
Business insight: The ability to understand complex business processes and break down fuzzy requirements into actionable segments
Translating business requirements into technical ones
Leading BI software development, deployment, and maintenance
Coaching and training: The ability to collaborate effectively with both the client and team members - sharing your experience and helping others to grow their skillset

Qualifications