Data Engineer - Business Intelligence Internship

Job Description:

Introduction

Responsible for designing, developing, and optimizing modern data solutions on Azure using Databricks and other data platform services. Builds scalable data pipelines, ensuring data quality, reliability, and performance across ETL/ELT processes. Develops analytical models and interactive dashboards in Power BI to transform business requirements into actionable insights. Collaborates closely with cross-functional teams to enable data-driven decision-making, enforce data governance, and support continuous improvement of the data ecosystem.

Your role and responsibilities

The role focuses on building, maintaining, and optimizing cloud-based data solutions and delivering advanced analytics through intuitive BI dashboards. The position bridges data engineering and analytics to support strategic, data-driven decisions.

Key Responsibilities:

Design, implement, and maintain scalable data pipelines using Azure Data Services and Databricks (ETL/ELT).
Develop data models and efficient query frameworks to enable high-performance analytics and reporting.
Build interactive and visually compelling Power BI dashboards aligned with business objectives.
Ensure data quality, reliability, and compliance with governance and security standards.
Collaborate with business stakeholders to gather requirements and translate them into technical deliverables.
Optimize data performance and implement best practices for cost-efficient cloud data architecture.
Monitor, troubleshoot, and continuously improve data processes and analytics solutions.

Required education
Master's Degree

Required technical and professional expertise

* Basic knowledge of Databases (SQL) and/or programming (preferably Python).
* Understanding of data modeling, ETL/ELT concepts, and analytics fundamentals.
* Some familiarity with Azure data services and/or Power BI is a plus.
* Curiosity and passion for data, cloud technologies, and business intelligence.
* Strong problem-solving skills and willingness to learn in a team environment.
* Interest in applying Generative AI for data enrichment, automation, or insights (e.g., Azure OpenAI, Copilot, LLMs)