Data Transformation Specialist

4 days ago

Sydney, New South Wales, Australia beBeeTransformation Full time $180,000 - $200,000
Job Title: Data Transformation Specialist Job Description: As a seasoned data transformation expert, you will play a pivotal role in shaping our organization's data landscape. Your primary responsibility will be to design and develop structured data sets that can be easily analyzed and reused by various stakeholders. You will work closely with cross-functional teams to create robust data models, ensuring seamless integration with existing systems. In this critical position, your expertise will drive business growth and inform strategic decision-making.

Key Responsibilities: • Develop scalable extract, transform, and load (ETL) packages from various business source systems. • Design and implement data models that meet analytics requirements, supporting both operational and predictive capabilities. • Collaborate with the development team to integrate data transformations into application databases. • Participate in comprehensive testing and validation to ensure accuracy and reliability of data transformations. • Work with IT teams to define and implement data table structures and models based on business needs.

Required Skills and Qualifications: • ETL design and development using Azure Data Factory, Databricks, or similar tools. • Proficiency in programming languages such as SQL, Python, Perl, or bash. • Experience with version control systems like Azure DevOps or GIT. • Strong understanding of database concepts, including object and data modeling techniques. • Analytical mindset with excellent business acumen skills. • Proven problem-solving abilities with effective communication skills. • Ability to build strong relationships within the organization.

Benefits: Join a collaborative and diverse team where you can grow and thrive. Enjoy a dynamic work environment with opportunities for professional development and career advancement. Work with cutting-edge technologies and contribute to innovative projects that shape the future of data engineering.

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