Data Engineer Microsoft Azure and Synapse
Data Engineer Microsoft Azure and Synapse
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Job Description
About the job
At Minutes to Seconds we match people with great skills with tailor-fitted jobs to achieve well-deserved success. We know how to match people to the right job roles to create that perfect fit. This changes the dynamics of business success and catalyzes the growth of individuals. Our aim is to provide both our candidates and clients with great opportunities and the ideal fit every time.
We would love the opportunity to work with YOU!!
Minutes to Seconds is looking for a Data Engineer Microsoft Azure and Synapse in a Contract role in Melbourne.
Requirements
About the Role
We are seeking a skilled Data Engineer with strong expertise in Microsoft Azure data services and Azure Synapse Analytics to join our growing data team. The ideal candidate will design develop and maintain data pipelines ensuring data quality reliability and performance for analytics and reporting needs.
Key Responsibilities
- Design build and maintain ETL/ELT pipelines using Azure Data Factory Synapse Pipelines and other Azure data services.
- Develop and optimise data models in Azure Synapse for high-performance analytics.
- Ingest transform and integrate structured and unstructured data from multiple sources into the data platform.
- Implement data quality checks validation rules and error-handling processes.
- Collaborate with data analysts BI developers and business stakeholders to understand data requirements.
- Monitor and troubleshoot pipeline performance ensuring minimal downtime and data accuracy.
- Apply best practices for security scalability and cost optimisation in Azure-based data solutions.
- Maintain documentation of data processes schemas and design decisions.
Required Skills & Qualifications
- Bachelor s degree in Computer Science Information Systems Data Engineering or related field.
- 3 years of experience in data engineering roles preferably in a cloud environment.
- Strong hands-on experience with Azure Synapse Analytics Azure Data Factory and Azure Data Lake Storage.
- Proficiency in SQL (T-SQL) for querying transformation and performance tuning.
- Experience with data modelling (Star/Snowflake schemas) and data warehousing concepts.
- Understanding of ETL/ELT best practices data governance and security.
- Familiarity with Azure Databricks Python or Spark is a plus.
- Strong problem-solving and troubleshooting skills.
- Excellent communication and teamwork abilities.
Nice-to-Have Skills
- Experience with Power BI or other BI tools.
- Knowledge of DevOps for data (CI/CD pipelines Infrastructure as Code).
- Exposure to machine learning pipelines in Azure ML.
- Understanding of DataOps and Agile delivery practices.
Employment Type
Full Time
