We are looking for an experienced Senior Azure Data Engineer / Lead with 8+ years of software/data engineering experience and solid expertise in Azure, Databricks, Python, SQL and Apache Spark .
The ideal candidate will have hands‑on experience designing and developing complex data pipelines, distributed data processing solutions, ETL frameworks and large‑scale data platforms within Agile environments.
Key Responsibilities & Requirements
8+ years of experience in software/data engineering and development , preferably within Agile environments.
Strong hands‑on expertise in Python and SQL ; Java experience is an advantage.
Design, develop and optimize complex data pipelines and ETL workflows .
Strong experience with Apache PySpark, Databricks, Azure Synapse, Azure Data Factory (ADF) and Azure Functions .
Hands‑on experience with data modelling, data warehousing and large‑scale ETL architectures .
Experience working with MS SQL, ADLS Gen2 and NoSQL/data storage technologies .
Good understanding of object storage and Big Data architectures , particularly Azure Data Lake Storage Gen2.
Experience managing and optimizing distributed systems and clusters for large‑scale/batch data processing.
Knowledge of MLOps architecture and practices .
Solid understanding of up-to-date data modelling concepts and enterprise data warehouse architecture .
Familiarity with Azure DevOps, Git and modern CI/CD practices .
Good knowledge of ETL and data warehousing methodologies .
Informatica experience is an advantage.
Ability to work closely with architects, developers, data teams and business stakeholders in an Agile environment.
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📌 Senior Azure Data Engineer – Databricks Sydney Only
🏢 The HR Ally
📍 Sydney
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