SAS engineer

Job Title: SAS Engineer

Contract Duration: 6 months

Key Responsibilities:

• Designing and implementing cross-functional solutions that build enterprise data products across various technologies and platforms.
• Ensuring solutions maximize reuse across multiple programs, engineering Data Products throughout sourcing, design, data quality, and placement to enhance enterprise value and reusability.
• Identifying the need for, creating, and overseeing the delivery of common enterprise components that improve the delivery and maintainability of data products.
• Defining solutions that span multiple technologies, including SAS, Hadoop & Big Data, Azure, Teradata Data Warehouse, ETL tools (e.g., Informatica), and BI tools (e.g., Tableau, Power BI).
• Collaborating with Credit Risk Business Stakeholder, Service Owners, Tech Leads and Line of Business (LOB) Leads to prioritize, size, and assess the requirements and backlog.
• Ensuring projects and programs align with design principles and standards.
• Working with business units to understand credit risk-related data elements, including reference data, metadata, and data lineage.
• Guiding Agile teams in designing, developing, testing, implementing, and supporting technical solutions using full-stack development tools, technologies, and DevOps processes.

 

📞 Contact: +61 28028 3141

 📧 Email: preetika.arora@akkodisgroup.com

 

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 "Akkodis is an Equal Opportunity employer, committed to all forms of workforce inclusion. We actively invite and encourage applications by candidates from diverse backgrounds"

 

Candidate Profile

• Designing and implementing cross-functional solutions that build enterprise data products across various technologies and platforms.
• Ensuring solutions maximize reuse across multiple programs, engineering Data Products throughout sourcing, design, data quality, and placement to enhance enterprise value and reusability.
• Identifying the need for, creating, and overseeing the delivery of common enterprise components that improve the delivery and maintainability of data products.
• Defining solutions that span multiple technologies, including SAS, Hadoop & Big Data, Azure, Teradata Data Warehouse, ETL tools (e.g., Informatica), and BI tools (e.g., Tableau, Power BI).