Engineering - Software (Information & Communication Technology)
Full time
up to $140,000 p/'a for the ideal candidate
Your expertise in Data Modelling, SQL, and Azure will be crucial in developing robust data pipelines and maintaining efficient data warehouses.
Key Responsibilities:
Designing and developing robust data models to support business requirements.
Building and optimizing data pipelines for efficient data extraction, transformation, and loading (ETL).
Building, Implementing and maintaining data warehouses for scalable and secure storage of structured and unstructured data.
Collaborating with cross-functional teams to understand data requirements and deliver optimal solutions.
Ensuring data quality and integrity through rigorous testing and validation processes.
Required Skills and Experience:
Proficiency in Data Modelling and designing relational databases.
Strong expertise in SQL for querying, analyzing, and manipulating data.
Experience with Azure cloud services, particularly Azure SQL Database, Azure Data Factory, and Azure Synapse Analytics.
Additionally : Spark, Python and Fabric experience would be highly desirable
Solid understanding of data warehousing concepts and methodologies.
Ability to work with large-scale datasets and optimize data pipelines for performance.
Familiarity with data governance and compliance standards in financial services.
Why Join Us?
Opportunity to work with cutting-edge technologies in a forward-thinking financial organization.
Collaborative and inclusive work environment that encourages innovation and professional growth.
Competitive compensation package including benefits and opportunities for advancement.
If you are ready to make an impact through data-driven solutions and thrive in a fast-paced environment, apply now or contact
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