We are looking for an experienced Azure Data Engineer with 8–10 years of relevant experience in designing, developing, and supporting scalable data engineering solutions on Microsoft Azure. The ideal candidate should have strong hands-on experience with Azure Synapse Analytics, Azure Data Factory, Azure SQL, PySpark, Python, and advanced T-SQL.
Must-Have Skills
Solid hands-on experience with Azure Synapse Analytics
Solid experience with Azure Data Factory (ADF)
Hands-on experience with Azure SQL
Strong programming experience in PySpark and Python
Advanced T-SQL / SQL skills
Robust understanding of ETL/ELT development and data pipelines
Experience with data modelling, including Star and Snowflake schemas
Positive understanding of Big Data processing and distributed computing
Experience designing and implementing scalable Azure data solutions
8–10 years of relevant Data Engineering experience
Key Responsibilities
Design, develop, and maintain scalable data engineering solutions using Azure Synapse Analytics, Azure Data Factory, and Azure SQL.
Develop and optimize complex ETL/ELT data pipelines using Azure services.
Build data transformation and processing solutions using PySpark/Python.
Write and optimize complex T-SQL/SQL queries, stored procedures, and data transformations.
Develop and maintain data models using Star and Snowflake schemas.
Work with large datasets and implement productive distributed data processing solutions.
Perform data integration from multiple structured and unstructured data sources.
Optimize data pipelines and queries for performance, scalability, and reliability
📌 Azure Data Engineer Sydney (Australia)
🏢 Ampstek
📍 Australia
Reply to this offer
Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.