Azure Data Engineer

This role focuses on designing, building, and maintaining robust data pipelines and solutions within the Microsoft Azure cloud environment. The Azure Data Engineer will play a crucial role in enabling data-driven decision-making by ensuring data is accessible, reliable, and optimized for various analytical needs.

Key Responsibilities:

Design and develop scalable data pipelines using Azure Data Factory, Azure Databricks, and other relevant Azure services.
Build and maintain data warehouses and data lakes on Azure.
Implement data quality checks and monitoring processes.
Optimize data storage and processing for performance and cost-effectiveness.
Collaborate with data scientists and business analysts to understand data requirements and deliver solutions.
Ensure data security and compliance with relevant regulations.

Requirements/Qualifications:

Proven experience as a Data Engineer with a strong focus on Azure cloud technologies.
Proficiency in data warehousing concepts and methodologies.
Experience with ETL processes and tools.
Strong programming skills in languages such as Python or Scala.
Familiarity with big data technologies like Spark and Hadoop.
Excellent problem-solving and analytical skills.
Ability to work effectively in a team environment.

About the Company: Epam Systems is a global provider of digital platform engineering and software development services. They help clients innovate and transform their businesses through technology solutions across various industries.