A data warehouse is a key component of business intelligence, and is the core of data reporting and analysis. Data is uploaded from systems such as marketing and sales, and is stored with recent data alongside historical. This allows for comparisons to be made, and trends to be observed in terms of a business’ success. A typical data warehouse uses an ‘ETL’ model, meaning that the data goes through a process of extraction, transforming and loading. The end result is an organized, retrievable set of data, often with extraneous data removed during the process through ‘data cleansing’.
Data is organized into hierarchical groups, and categorized as either facts or aggregate facts. Managers and business professionals are then able to use the data for market research and decision support.Ajiri Data Warehouse Experts
Hi All, I am looking for the below resources for 6 month or even more. Apply only those who match the requirement. Strong SQL development skill for loading data into dimensional model Strong ETL framework experience (logging/repeatability/restartability) Python development experience Snowflake experience (if possible) ( Note : Only Individuals please. Agency are welcome who are ready to work with mentioned budget only) ( We want a candidate who work on Monday to Friday. This is resource base work so dont ask me silly question like provide me project details and all ). ( Payment will be done at the end of month. So apply only those who agree this terms ). This is a must requirement. NDA will be signed & Background Verification will be there. Thank You
We require a Data Architect to create a Data Driven Strategy for our organisation and lead the team that will implement the strategy. More information will be provided to the successful contractor.
- Strong Banking Domain (Commercial Lending & Mortgage) knowledge required (Black knight/Empower ) - Requirements gathering, documenting BRD & FRD, business process flow, workflow /swim lane diagrams using Visio - Knowledge of Jira, Confluence - Liaison with multiple stakeholders (business & technology & PMO office - Strong Datawarehouse knowledge (OLAP, OLTP, Star/ snowflake schema, 3NF Denormalization, Dimensional modeling) - Identify data elements for Loan Origination source systems to loan servicing & underwriting systems - Ability to create custom & canned reports - Data Analysis using SQL queries (strong) - Data mapping skills (source to target) - Data quality & metadata management - Data Governance & Data Management skills Environment: - Teradata