Requirements

Expected technologies

Python

SQL

Data Lake Gen2

Event Hub

Data Factory

DataBricks

Azure DWH

API Azure

Azure Function

Power BI

Operating system

Linux

Our requirements

• strong experience in Big Data or Cloud projects in the areas of processing and visualization of large and unstructured datasets (in different phases of Software Development Life Cycle);
• practical knowledge of the Azure cloud in Storage, Compute (+Serverless), Networking and DevOps areas supported by commercial project work experience;
• very good knowledge of Python and SQL;
• practical Azure cloud knowledge (for example from the MS Learn courses) supported with certificates (for example DP-900, DP-200/201, AZ-204, AZ-400);
• experience with several of the following technologies: Data Lake Gen2, Event Hub, Data Factory, DataBricks, Azure DWH, API Azure, Azure Function, Power BI;
• very good command of English.

Your responsibilities

• designing and implementing Azure Data solutions for handling extensive and/or unstructured datasets;
• utilizing Azure Databricks and other services for advanced data processing, analytics, and machine learning tasks, optimizing performance and scalability;
• collaborating with solution architects to establish and promote data engineering best practices and standards within the Azure ecosystem;
• implementation, optimization and testing of modern DWH/Big Data solutions based on Azure cloud platform and Continuous Delivery / Continuous Integration environment;
• data processing efficiency improvement, migrations from on-prem to public cloud platforms;
• mentoring and guiding junior data engineers in Azure-specific technologies, fostering a culture of continuous learning.