Data and AI Tech Principal Specialist SG at CIMB Singapore

Singapore, Singapore, Singapore -

Full Time

Start Date

Immediate

Expiry Date

17 Sep, 26

Salary

0.0

Posted On

19 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, SQL, AWS, Python, Big Data Pipelines, ETL, Hadoop, Spark, Kafka, NoSQL, SDLC, ITIL, Linux Shell Scripting, Root Cause Analysis, Project Management, Data Architecture

Industry

Banking

Description

Key Responsibilities: * Assist Head of Data and AI in Data and AI -related projects and solutioning activities and ensure successful delivery and support of the project. * Involve in the discussion with stakeholders on business application enhancements, to understand business requirements, participate in developing an effective and efficient solution. * Involve in the technology related solution and delivery of projects for Bank applications * Provides support to System Integration Testing (SIT) and User Acceptance Testing (UAT), prior to production implementation * Schedule and support production maintenance activities, such as software deployments, security patches and operating system patches * Attend to production problems on timely manner and escalate to management for their attention when necessary * Work closely with external vendors and internal IT partners effectively in carrying out required assignments * Compliance with external/internal regulatory requirements, internal control standards and group compliancy policy. * Contribute to proper application documentation to build the knowledge assets for the Bank * Participate actively in Department and Bank’s initiative and activities * Design and maintain efficient data pipeline architectures to ensure seamless data flow and processing. * Compile and manage extensive, intricate data sets that fulfill both functional and non-functional business requirements. * Identify, design, and implement internal process enhancements by automating manual tasks, optimizing data delivery, and re-engineering infrastructure for improved scalability. * Develop and maintain the infrastructure necessary for optimal data extraction, transformation, and loading (ETL) from diverse data sources using SQL and AWS big data technologies. * Create advanced analytics tools that leverage the data pipeline to deliver actionable insights into customer acquisition, operational efficiency, and other critical business performance metrics. * Collaborate with stakeholders including Executive, Product, Data, and Design teams to address data-related technical issues and support their data infrastructure needs. * Ensure data security and compliance by maintaining data separation and security across multiple data centers. * Develop data tools for the analytics and data science teams to aid in building and optimizing our product, positioning it as an innovative industry leader. * Work closely with data and analytics experts to enhance the functionality and performance of our data systems. Job Requirements: University Bachelor's Degree preferably majoring in Computer Science, Statistics, Informatics, Information Systems, or a related quantitative field. General Competencies & Skills * Strong analytical and problem solving experience * Detail-orientated with strong stakeholder and customer focus * Strong verbal and written communication skills * Excellent interpersonal skills * Able to work as a team with active participation in team discussion, and also able to work independently to handle multiple tasks assigned * Proactive and able to work under pressure and positive attitude * Experience with documented evident on solutioning banking areas, preferably in transaction banking and development in modern technology frameworks and methodology * Self-proficient MS Excel, PowerPoint and MS project Technical/Professional Competencies & Skills * 5-8 years' experience in Data Engineering * Knowledge in application management and project SDLC, ITIL processes in a banking environment * Experience in support and troubleshooting for Production and UAT/SIT (coordination and hands-on) * Good sense in new technologies landscape * Good communication skill and ability to present technical proposals to internal IT stakeholders * Proficient in SQL with extensive experience in relational databases, query authoring, and familiarity with various database systems. * Proven experience in building and optimizing big data pipelines, architectures, and data sets. * Skilled in performing root cause analysis on internal and external data and processes to address specific business questions and identify improvement opportunities. * Strong analytical skills for working with unstructured datasets. * Experience in developing processes for data transformation, data structures, metadata, dependency, and workload management. * Demonstrated success in manipulating, processing, and extracting value from large, disconnected datasets. * Knowledgeable in message queuing, stream processing, and highly scalable big data stores. * Excellent project management and organizational skills. * Experience collaborating with cross-functional teams in a dynamic environment. * Practical Knowledge of Linux or Unix shell scripting. * Minimum of 5 years of experience in a Data Engineer role, with a graduate degree in Computer Science, Statistics, Informatics, Information Systems, or a related quantitative field. Additionally, experience with the following tools and technologies is required: * Big data tools: Hadoop, Spark, Kafka, etc. * Relational SQL and NoSQL databases: Postgres, Cassandra, etc. * Data pipeline and workflow management tools: AWS data pipeline, etc. * AWS cloud services: EC2, EMR, RDS, Redshift, Iceberg * Object-oriented and functional programming languages: Python, Java, C++, Scala, etc. With operations that span 15 different markets across the region, the opportunity to expand your experience, test your capabilities, and exhibit your resilience is ample. #teamCIMB is always keen to welcome the ones who are ready to make that very special difference – for themselves and the bank.

Responsibilities

Assist the Head of Data and AI in designing and maintaining efficient data pipeline architectures and providing application support to ensure stability. Collaborate with stakeholders to develop advanced analytics tools and automate internal processes for improved scalability.