Senior Data Warehouse Business Intelligence Developer

September 25

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Sand Technologies

WebsiteLinkedInAll Job Openings

501 - 1000

Description

• ABOUT US • SAND has over 500 staff members from 48+ countries with plans to acquire several companies around the world to become a multi-billion dollar global technology services provider that employs over 100,000 employees across the globe. • We have 2 brands represented in our ecosystem: • With ALX, we're cultivating the fastest-growing pool of technology talent globally, training aspiring professionals in software engineering, cloud computing, data science, and Salesforce across over 60 countries. • Our clients include one of the largest cloud computing providers in the world as well as Bestseller A/S (Denmark), Create Prime (New Zealand), Stanbic Bank (Kenya), and Tamara (Dubai). • The tech team is responsible for all learning platforms at ALX: Intranet, auto correction system, cloud development sandbox for students, anti-plagiarism system, etc. • We do hard things! • KEY RESPONSIBILITIES • Design, implement and maintain our Data Warehouse. • Design, implement and maintain our Data Lake. • Design, implement and maintain of end-to-end business intelligence solutions, including data visualization, data modeling, ETL processes, and data warehousing. • Support and advise the Product and Project Manager team. • Provide technical mentorship to junior team members, guiding them in best practices for BI development and data engineering.

Requirements

• You have 5+ years of experience in data warehousing development, including ETL design, development, and implementation. • Proficiency in SQL programming and experience with relational database systems (e.g. SQL Server, PostgreSQL, AWS Redshift). • Experience working with large-scale data warehouses and managing complex data integration projects. • Experience in development of near real-time DWH / data lake solutions. • You have expertise in Data Warehouse, ETL, and Report design and development. • You have strong analytical and troubleshooting skills. • You have extensive experience with report development using various tools (SSRS, Power BI, Tableau, QuickSight, Excel, etc.). • You are fluent in modelling, managing, scaling and performance tuning of high volume data warehouse environments. • You have experience in working with structured and unstructured data. • You have experience with dimensional data modelling. • You are experienced and passionate about data storytelling with appealing graphics and visualizations. • You have the ability to translate business questions and requirements into reports, views, and BI query objects. • Language: Fluent written and spoken English. • Located in Romania.