Prudential Services Asia sedang mencari pekerja sebagai Lead Data Engineer – Financial Crimes Intelligence Unit di Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia |
您所在的位置：网站首页 › azure authoring › Prudential Services Asia sedang mencari pekerja sebagai Lead Data Engineer – Financial Crimes Intelligence Unit di Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia |
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Prudential's purpose is to help people get the most out of life. We will deliver our purpose by creating a culture in which diversity is celebrated and inclusion assured, for our colleagues, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and in exchange, we support our people's career ambitions. We pledge to make Prudential a place where you can Connect, Grow and Succeed. Role Purpose The role is within the Financial Crimes Intelligence Unit, reporting to the Financial Crimes Intelligence Director, with ultimate line to the Group Chief Security Officer. You will form part of the Financial Crimes Intelligence Unit (FCIU) team primarily responsible for designing, creating and deploying advanced analytics and machine learning solutions to detect and control fraud in multiple Prudential business units. As a Data Engineer in this team you will be responsible for expanding and optimizing our data and data pipeline architecture, and optimizing data flow and collection for cross-functional and cross-regional teams. The Data Engineer will support software developers, database architects, data analysts and data scientists on data initiatives to ensure optimal data delivery architecture and consistency. In addition to the above core activities, the role may include oversight and management of a small team of 1-2 people. Key Roles & Responsibilities Create optimal data pipeline architectureCreate / change ETL logic based on source dataAssemble large, complex data sets that meet functional / non-functional business requirementsBuild the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using “big data” technologiesWork with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.Create and implement approaches to ensuring data separation and security across national boundaries, across multiple data centers, and multiple cloud and SaaS providersCreate data tools for analytics and data scientist team members and guide data best practices across multiple projectsWork with data and analytics experts to strive for greater functionality in our data systemsKey QualificationsShould have experience:Fraud, financial crime, customer insight or compliance-based projects that utilise detection or predictive modelsIndependent planning, execution, and management of projects involving statistical approaches, classification, exploration, and detectionAgile development methodologyStrong analytical skills developed through working with big data and data sets5+ years of experience in a Data Engineer role, with ideally an advanced degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.Target Technical SkillsAzure Data Bricks, Data Factory and SynapseGreenplumDevelopment environment skills (code control, IDEs, BitBucket, Artifactory Jenkins, Azure DevOps, BitBlocks)Data mapping, relational data and object orientationExperience of working on operational environments (BitBucket, Artifactory Jenkins, Azure DevOps, BitBlocks)Hadoop, Spark, Kafka, ScalaETL tools, data cleansing, handling data quality and related issuesGoogle Cloud big data servicesElasticSearchExperience with software as serviceGood To Have ExperienceAdvanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of SQL and noSQL databases.Designing, building and optimizing ‘big data’ data pipelines, architectures and data sets.Performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.Strong analytic skills related to working with unstructured datasets.Build processes supporting data transformation, data structures, metadata, dependency and workload management.A successful history of manipulating, processing and extracting value from large disconnected datasets.Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.Strong project management and organizational skills.Supporting and working with cross-functional teams in a dynamic environment.Experience/familiarity with a broad range of tools and environments, such asBig data tools: Hadoop, Spark, Kafka, etc.Relational SQL and NoSQL databases, including Postgres and Cassandra.Data pipeline and workflow management toolsStream-processing: Storm, Spark-Streaming, etc.Candidate SpecificationsAdvanced degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field5+ years of experience in a Data Engineer roleDemonstrated ability to work independently in a lead roleExperience with multiple big data tools: Hadoop, Spark, Scala/Python, Kafka, etc.Experience with relational SQL and NoSQL databases, such as Postgres and Cassandra.Experience with one or more data pipeline and workflow management toolsStream-processing: Storm, Spark-Streaming, etc.Knowledge of CICD/Devops tools – Jenkins, Bitbucket, etc.Ability to lead a team and to work collaborativelyAnalytical and problem-solving abilities.Ability to perform tasks independentlyPrudential is an equal opportunity employer. We provide equality of opportunity of benefits for all who apply and who perform work for our organisation irrespective of sex, race, age, ethnic origin, educational, social and cultural background, marital status, pregnancy and maternity, religion or belief, disability or part-time / fixed-term work, or any other status protected by applicable law. We encourage the same standards from our recruitment and third-party suppliers taking into account the context of grade, job and location. We also allow for reasonable adjustments to support people with special requirements. |
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