Job Description
SAS Solution Engineer
About our client:
Our client is a leader in professional services and consulting providing a wide range of services including strategy consulting technology and systems integration and operations to a range of clients across Government Financial Services Utilities and more.
About the role:
An opportunity exists for aSolution Engineer with expertise in SAS SQL and modern data platforms. This role is pivotal in designing and engineering robust data solutions for credit risk and banking operations.
Youll design implement and optimise enterprise data products collaborating closely with business and technology stakeholders to drive impactful outcomes in credit risk.
Key Responsibilities:
- Analyse business requirements conduct impact analysis and estimate effort for solution delivery.
- Design and implement cross-functional data solutions using SAS Hadoop Azure and related technologies.
- Engineer data products for sourcing quality and enterprise reusability.
- Oversee technical documentation governance and solution alignment with design standards.
- Collaborate with business and tech leads to prioritise and deliver on requirements.
- Guide Agile teams in full-stack development and DevOps processes.
- Work with credit risk data including reference data metadata and data lineage.
Required Experience:
- 5 years in credit risk or banking environments.
- 10 years in engineering business and technology solutions.
- 5 years of advanced SQL and SAS (Base SAS SAS/Macro SAS DI Studio SAS Enterprise Guide SAS Management Console).
- Experience with Hadoop Spark Hive HBase Python Java Spring Boot Git Flink CosmosDB Akka Scala Synapse.
- Strong background in data warehousing modelling and integration tools (Informatica Sterling).
- Familiarity with BI tools (IBM Cognos/TM1 Power BI Tableau).
- Experience designing for cloud platforms preferably Azure.
Whats on offer
This contract is available for an initial 6-month term with likely extension on a long term project. Located in Sydney this role offers a hybrid working arrangement.
How to Apply:
Please upload your resume to apply. We will be in touch with further instructions for suitably skilled candidates. Please note that you will be required to complete selection criteria to complete your application for this role.
Call Katrina Gabriel onor email for any further information.
Candidates will need to be willing to undergo pre-employment screening checks which may include ID and work rights security clearance verification and any other client requested checks.
Job DescriptionSAS Solution Engineer About our client:Our client is a leader in professional services and consulting providing a wide range of services including strategy consulting technology and systems integration and operations to a range of clients across Government Financial Services Utilities...
Job Description
SAS Solution Engineer
About our client:
Our client is a leader in professional services and consulting providing a wide range of services including strategy consulting technology and systems integration and operations to a range of clients across Government Financial Services Utilities and more.
About the role:
An opportunity exists for aSolution Engineer with expertise in SAS SQL and modern data platforms. This role is pivotal in designing and engineering robust data solutions for credit risk and banking operations.
Youll design implement and optimise enterprise data products collaborating closely with business and technology stakeholders to drive impactful outcomes in credit risk.
Key Responsibilities:
- Analyse business requirements conduct impact analysis and estimate effort for solution delivery.
- Design and implement cross-functional data solutions using SAS Hadoop Azure and related technologies.
- Engineer data products for sourcing quality and enterprise reusability.
- Oversee technical documentation governance and solution alignment with design standards.
- Collaborate with business and tech leads to prioritise and deliver on requirements.
- Guide Agile teams in full-stack development and DevOps processes.
- Work with credit risk data including reference data metadata and data lineage.
Required Experience:
- 5 years in credit risk or banking environments.
- 10 years in engineering business and technology solutions.
- 5 years of advanced SQL and SAS (Base SAS SAS/Macro SAS DI Studio SAS Enterprise Guide SAS Management Console).
- Experience with Hadoop Spark Hive HBase Python Java Spring Boot Git Flink CosmosDB Akka Scala Synapse.
- Strong background in data warehousing modelling and integration tools (Informatica Sterling).
- Familiarity with BI tools (IBM Cognos/TM1 Power BI Tableau).
- Experience designing for cloud platforms preferably Azure.
Whats on offer
This contract is available for an initial 6-month term with likely extension on a long term project. Located in Sydney this role offers a hybrid working arrangement.
How to Apply:
Please upload your resume to apply. We will be in touch with further instructions for suitably skilled candidates. Please note that you will be required to complete selection criteria to complete your application for this role.
Call Katrina Gabriel onor email for any further information.
Candidates will need to be willing to undergo pre-employment screening checks which may include ID and work rights security clearance verification and any other client requested checks.
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