Employer Active
Job Alert
You will be updated with latest job alerts via emailJob Alert
You will be updated with latest job alerts via emailNot Disclosed
Salary Not Disclosed
1 Vacancy
Must have at least 35 years of experience in managing all facets of managing a SWL DW environment in Azure.
You will be responsible for designing and modelling a snowflake and star schema environment to create reporting cubes across various business functions enabling selfservice reporting for the organization.
Your role includes designing a multidimensional data warehouse using the SQL Server BI stack. A strong background in SQL development particularly in creating data warehouse solutions is essential.
You must understand advanced SQL techniques such as looping logic indexing temporary tables and other sophisticated database strategies. The ability to write optimized and performant SQL code is crucial.
Familiarity with additional programming languages like Python is required. Experience in developing reporting solutions using Power BI in a selfservice environment is also necessary.
You will be tasked with supporting and administering the SQL data warehouse and Azure Data Factory. A solid understanding of Azure tools including Data Factory and Databricks is important for this role.
You will be responsible for debugging monitoring and troubleshooting BI solutions.
You should have a strong understanding of leading extract transform and load (ETL) tools.
You will develop techniques for quality data collection to ensure data adequacy accuracy and legitimacy.
Recognizing business requirements within the BI context you will create data models to transform raw data into meaningful insights.
You will provide oversight on database structure models in alignment with BI strategy and corporate KPIs.
You should have experience developing models queries and views within project timelines with a focus on meeting deadlines.
Strong knowledge of implementing security in a SQL Data Warehouse environment spanning data such as row level security and applying security to individuals access such as active directory or role level security.
A background in working with SAP Salesforce and nonSAP ERP systems is also required.
Qualifications :
Key Qualifications and Skills
Background as a Senior Developer specializing in Microsoft SQL Data Warehousing.
Experienced in managing cloudbased database solutions (Azure AWS Google).
Proficient with tools such as Databricks Data Factory Python and various data analysis and integration platforms.
Skilled in BI tools and systems particularly Power BI.
Capable of developing SQL structures to support a Business Intelligence strategy.
Strong understanding of Logical Physical and Canonical Models with the ability to create and present them effectively.
Hands on experience in utilising an ETL (Extract Transform & Load) toolset.
Extensive experience in building data cubes for selfservice reporting.
Proficient in MS Office applications (Excel Word Access etc.).
Possesses an analytical mindset and strong problemsolving abilities.
Excellent communication and collaboration skills.
Experienced in managing thirdparty software and support organizations.
Adept at simplifying complex issues for nontechnical audiences.
Ability to influence and collaborate with global colleagues at all levels including directors.
Additional Information :
Location
Remote Work :
No
Employment Type :
Fulltime
Full-time