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This role will require the candidate to be knowledgeable and experienced on Business Intelligence and Data Warehouse. This is a great opportunity for a senior Consultant to grow and develop their career in BI and Data Warehousing. This truly unique opportunity requires a career-oriented individual able to join our Azure, Data & AI Practice and commitment to deliver on time with high quality is a must.
Job Responsibility:
Provide top-quality solution design and execution
Provide support in defining the scope and sizing of work
Align the data solutions with their clients’ initiatives as requested
Engage with clients to understand strategic requirements
Responsible for translating business requirements into technology solutions
Work with domain experts to put together a delivery plan with and stay on track
Utilize Cloud and On-Premise technologies to design, develop, and evolve scalable and fault-tolerant distributed components
Organize all meetings with customers and ensure prompt resolution of gaps and roadblocks
Stay current on latest technology to ensure maximum ROI for clients
Responsible for the design and execution of abstractions and integration patterns (APIs) to solve complex distributed computing problems
Responsible for the overall design and build of business intelligence solutions for a set of clients, delivered on Azure, Microsoft SQL Server and Business Intelligence platforms
Requirements:
SQL Server Analysis Services (SSAS)
Strong experience designing, developing, and maintaining Analysis Services data cubes and Tabular Models, including data modelling, measures (DAX), performance tuning, and optimisation for enterprise‑scale reporting and analytics
SQL Server Integration Services (SSIS)
Proven experience building and supporting SSIS packages for ETL processes, including data extraction, transformation, validation, error handling, and scheduling across complex data environments
Azure Data Factory
Hands‑on experience designing and managing Azure Data Factory data pipelines and data flows, integrating data from multiple sources, automating ingestion processes, and supporting scalable cloud‑based data solutions
Power BI
Strong experience with Power BI for semantic modelling, dataset design, performance optimisation, and collaboration with stakeholders to deliver reliable, business‑ready analytics solutions
Microsoft SQL Server (Cloud & On‑Premises)
Extensive experience with Microsoft SQL Server across both cloud and on‑premises environments, including schema design, query optimisation, performance tuning, and data reliability at scale
Knowledgeable and experienced on Business Intelligence and Data Warehouse
Experience in one of the following areas Data Warehouse Design, Modelling, Data Integration, Data Analysis, Reporting and prove consistent business knowledge
Nice to have:
Databricks
Exposure to or experience with Azure Databricks for large‑scale data processing, transformation, and analytics
Experience working with Spark‑based data engineering workloads is an advantage
Python
Working knowledge of Python for data manipulation, automation, or integration tasks within data engineering or analytics workflows is beneficial
What we offer:
Stable work environment
True team environment
Structured career path
Growth and satisfaction that comes from keeping his/her skills up-to-date by working with the latest technologies