Senior BI Developer

Posted 20 Days Ago
Be an Early Applicant
Johannesburg, Gauteng
In-Office
Senior level
Information Technology • Business Intelligence • Consulting
The Role
Lead design and build of end-to-end BI solutions: develop ETL/ELT pipelines, build Kimball-style data warehouses and dimensional models, create data models and dashboards (Power BI/Analysis Services), ensure data lineage and governance, drive technical decisions, mentor team members, and liaise with stakeholders for requirements and deployment.
Summary Generated by Built In

Make an impact with NTT DATA
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.

As part of a growing team, we need an experienced Senior BI Developer 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 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)
  • Working knowledge with the Microsoft Fabric, Snowflake, Databricks, AWS and Google platforms and their related BI stack(s)

                                                                          

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
  • Technical scoping and estimation for RFP process
  • Technical documentation and post project documentation automation.
  • 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

  • Bachelor’s degree in computer science, Information Systems or equivalent experience
  • If you have any Microsoft Certification, you’re one step ahead.

Personal Traits

  • Friendly and easy going
  • Goal oriented
  • Passionate about problem solving
  • Team-oriented
  • Good communicator
  • Self-motivated
  • Deadline-orientated

Workplace type:

About NTT DATA
NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services.  Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&D.

Equal Opportunity Employer
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.

Third parties fraudulently posing as NTT DATA recruiters 

NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters—whether in writing or by phone—in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an @nttdata.com email address. If you suspect any fraudulent activity, please contact us.

Top Skills

Sql,Ssis,Azure Data Factory,Azure Synapse Analytics,Microsoft Sql Server,Analysis Services,Power Bi,Power Bi Desktop,Power Bi Service,Power Bi Apps,Dax,Dax Studio,Tabular Editor,Excel,Sap,Oracle Ebs,Salesforce,Sharepoint,Dynamics 365,Office 365,Github,Devops,Microsoft Fabric,Snowflake,Databricks,Aws,Google Cloud
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The Company
Brisbane
55,092 Employees

What We Do

NTT DATA, Inc. is a trusted global innovator of business and technology services. We're committed to helping clients innovate, optimize and transform for long-term success. Our R&D investments help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity

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