At LeverX, we have had the privilege of delivering over 950 projects. With 20+ years on the market, our team of 1,800 is strong, reliable, and always evolving: learning, growing, and striving for excellence.
We are looking for an Azure Analytics Engineer to join us. Let’s see if we are a good fit for each other!
What we offer:
Projects in different domains: Healthcare, manufacturing, e-commerce, fintech, etc.
Projects for every taste: Startup products, enterprise solutions, research & development projects, and projects at the crossroads of SAP and the latest web technologies.
Global clients based in Europe and the US, including Fortune 500 companies.
Employment security: We hire for our team, not just for a specific project. If your project ends, we will find you a new one.
Healthy work atmosphere: On average, our employees stay in the company for 4+ years.
Market-based compensation and regular performance reviews.
Internal expert communities and courses.
Perks to support your growth and well-being.
REQUIREd skills:
Experience as a Data Engineer or an Analytics Engineer focusing on Azure services and Microsoft Fabric.
Hands-on experience with Fabric components: Lakehouse, OneLake, Data Pipelines, Dataflows
Gen2, Data Warehouse, Power BI Integration.
Strong programming skills in T-SQL, KQL, and DAX.
In-depth understanding of Data Medallion architecture, Data Quality approaches in Data Analytics solutions, and data modeling principles: 3NF, Data Vault 2.0, OBT, Dimensional Models, OLAP Cubes.
Extensive experience with Power BI: building and optimizing dashboards, reports, and data visualizations.
Experience implementing and managing data warehouse solutions using the Azure and Microsoft Fabric tech.
English B1+.
Nice-to-have skills:
Experience with Databricks or Snowflake data platform.
Certifications: Fabric Analytics Engineer Associate (DP-600), Power BI Data Analyst Associate (PL-300), or other Microsoft-issued certifications.
Experience with data governance tools and security frameworks.
RESPONSIBILITIES:
Design and implement analytics systems leveraging Microsoft Fabric and Azure Analytics Services:
Databricks, Azure Synapse Analytics.
Develop and manage robust semantic models that optimize storage, retrieval, and analysis of data.
Create and optimize Power BI dashboards, reports, and visualizations to enable data-driven decision-making.
Collaborate closely with data scientists, data engineers, and other stakeholders to understand data requirements and deliver optimized, scalable solutions.
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