Key Responsibilities
Develop and maintain data pipelines using Azure Data Factory.
Work with Azure Databricks for data processing and transformation.
Write and optimize SQL queries.
Work with Azure Data Lake Storage for storing and managing data.
Build ETL/ELT workflows for data integration.
Perform data cleaning, transformation, and validation.
Monitor and troubleshoot data pipelines.
Work with business analysts and development teams.
Ensure data quality, security, and reliability.
Required Technical Skills
Valuable knowledge of Microsoft Azure.
Hands-on experience with Azure Data Factory (ADF).
Knowledge of Azure Databricks and PySpark.
Solid SQL and database knowledge.
Experience with Python programming.
Understanding of ETL and ELT concepts.
Knowledge of Azure Data Lake Storage (ADLS).
Basic understanding of data warehousing concepts.
Knowledge of Git and CI/CD is an added advantage.
Positive analytical and problem-solving skills.
📌 Azure Data Engineer Victoria (Australia)
🏢 Spait Infotech
📍 Australia
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