Designing and implementing scalable Data Pipelines, Data Storage, and Data Processing solutions
Managing Data Integration and Storage architectures
Modelling data and handling ETL/ELT processes and Data Warehousing solutions
Developing and maintaining modern data architectures with focus on scalability, security, and availability
Managing cloud-based data services, particularly within Azure ecosystems
Supporting and implementing Data Governance practices and standards
Collaborating closely with cross-functional engineering and analytics teams to improve platform reliability and data accessibility

Strong experience in Data Engineering and cloud-based data platforms
Solid understanding of data modeling, ETL processes, and data warehousing concepts
Hands-on experience with Spark, Azure Databricks, and distributed data processing technologies
Experience working with SQL and NoSQL databases
Strong proficiency in Python for data manipulation and processing
Deep understanding of data architecture, scalability, security principles, and best practices
Experience implementing or contributing to Data Governance frameworks
Good communication skills and strong English proficiency.

Azure Data Engineer

Key skills