big data initiatives. Good level of experience is required. Responsibilities: Build robust, high-performance, and adaptable solutions for modern platforms (GCP Big Query,Relational, OLAP) Finance data modelling extensive experience desired as the data lead. Talend/Informatica transformation logic experience is required Technical thought leadership on architecture, data modeling more »
have a strong understanding of data. Have experience working with large volumes of data (millions or records per day). Can build tabular (or OLAP) cubes properly (with DAX or MDX). Advanced SQL knowledge and ability to write performance optimized queries. You should have industry standard Data Modelling skills more »
of the warehouse eg Power BI. Must have worked with Cloud Database technology like Google BigQuery, Snowflake etc. Should have Experience with Multi-dimensional OLAP cubes to store/reference data in semantic data layer. Asset Management data expertise. Strong SQL but MUST have DBT. ETL or ELT The position more »
Mongo, Cassandra, Postgres,BigQuery ..etc) and data modelling techniques Create conceptual, logical and physical data models with enterprise best practises and standards Worked on OLAP and OLTP applications Very good knowledge on ERStudio and Hackolade. Designed logical data model to consolidate various subject as including standard definition, data types, size more »
years prior experience is required in one or more of the following: - .NET (C# or VB.NET) - Microsoft SQL Server (database design, DBA, stored procedures, OLAP and reporting) - Web services integration using SOAP or REST APIs Training in C/C++ will be provided but prior experience will be an advantage more »
dimensions based on business needs. Development and Implementation: Develop ETL processes to extract, transform, and load data into Jedox. Build and configure multidimensional cubes, OLAP databases, and data models. Design and create reports, dashboards, and scorecards using Jedox Web or Excel add-in. Performance Optimization: Optimize cube performance by tuning more »
for data manipulation and query optimisation. Data Modelling : Familiarity with design tools like Kimball and DataVault. OLAP and OLTP : Strong understanding of both OnlineAnalyticalProcessing and Online Transaction Processing. Cloud Platforms : Experience with cloud services, preferably AWS or GCP. Data Models : Ability to create and implement both logical and more »