SAS Data engineer
4 weeks ago
to reflect the duties and responsibilities of this role.The role requires strategic thinking and planning and provide expertise throughout the entire product development life cycle with a strong sense of quality ownership making sure that quality is baked in from the startThe individual will also take responsibility for ensuring all development tasks meet quality criteria through proper planning and designing, quality assurance and issue trackingAccountable for mitigating business risks through timely, precise execution and validation of infrastructural changesThe individual must work closely with development and Infra teams to create plans for enhancements and application fixesWork under minimal supervision to carry out procedures and execute agreed changes to ensure that the application meeting project engagement and requirements. The design must comply with standardsOversee the delivery and maintenance of automated scenarios and frameworks based on industry best practices
Responsibilities:Assist in managing and coordinating project deliverables and activitiesManage and coordinate dependencies, risks, issues to ensure the successful delivery of the projectManage the communication channels and relationships with senior stakeholdersEnsure all stakeholders are sufficiently briefedContribute to the management, monitoring and delivery of remediation action plans and outcomes where needed, in line with expectations / requirementsPerform functional and technical Infrastructure review activities as per engagement in the projectIdentify the Automation opportunities and define the approach. q Identify test environment requirements and liaise (and coordinate) with teamsConduct periodic reviews and inspections of project deliverables and provide feedbackParticipate in project meetings to provide feedback and statistics of the project.Knowledge of Credit Risk PD, EAD and LGD Models for Retail business clients
RequirementsTechnical skills and competencies required:Hands on & Consulting Skills on Base SAS development FrameworkSound statistical knowledge, analytical and problem-solving skills are desirableHands-on experience on Big data technologies (Apache Hadoop, HDFS, Hive)Have experience with monitoring toolsDevelopment capabilities using python, spark, sas, R languagesGood management and analytical skillGood writing and oral communication skillsGood understanding of and experience in projects (e.g. SDLC, Agile methodology)Hands on experience in Big Data space (Hadoop Stack )
Nice to have:A good understanding of IFRS9 Risk and compliance would be highly beneficial
Processes:Good understanding and able to apply processes laid down within the team, and/or standards as defined by projectProvide technical expertise in Automation, Infra Methodologies, Admin Processes, Development best practises, Tools and Techniques across the teamsBe an escalation point for all matters related to Infrastructural changes
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