Job Description

Responsibilities: * Provide architectural expertise to sales, project and other analytics teams. * Work with BD team to identify opportunities to engage prospective and existing clients on Data Responsibilities: Provide architectural expertise to sales, project and other analytics teams. Work with BD team to identify opportunities to engage prospective and existing clients on Data & Analytics solutions Analyse current business practice, processes, and procedures as well as identifying future business opportunities for leveraging Data & Analytics solutions on various platforms Develop solution proposals that provide details of project scope, approach, deliverables and project timeline Help develop standardized framework and practice guides that will allow our practitioners perform their work in a structured, standard manner Identify risks, assumptions, and develop pricing estimates for the Data & Analytics solutions Plan, design and setup Data Analytics platforms in customer data centres or cloud platforms Design and implement relevant data models Architect data pipelines to bring information from source systems, harmonise and cleanse data to support analytics initiatives for core business metrics and performance trends Work closely with project manager and technical leads to provide regular status reporting and support them to refine issues/problem statements and propose/evaluate relevant analytics solutions Work in teams that combine technical, business and data science competencies that deliver work in waterfall or agile software development lifecycle methodologies Mentoring to upskill peers and juniors Requirements Experience building large scale enterprise data pipelines using commercial Data Analytics platforms from vendors such as Microsoft, Amazon Web Services Strong knowledge of data manipulation languages such as Spark, Scala, Impala, Hive SQL, Apache Nifi necessary to build and maintain complex queries, streaming and real-time data pipelines Good appreciation and operational experience of infrastructure management and administrative tools and skillsets eg: Linux shells, Apache Ambari, YARN, to build scalable and resilient data platforms Data modelling and architecting skills including strong foundation in data warehousing concepts, data normalisation, and dimensional data modelling such as OLAP Experience with other aspects of data management such as data governance, metadata management, archival, data lifecycle management Large scale data loading experience moving enterprise or operational data from source systems to new applications or data analytics solutions Experience in leveraging on cloud-based data analytics platform ( AWS serverless architecture in Lambda on AWS DynamoDB, EMR, Azure Data Lake, HDInsight and GCP BigQuery/BigTable, Cloud Dataprep/Dataflow/Dataproc) Those who are keen for the role and would like to discuss the opportunity further, please click 'Apply Now' or email Kin Long at [HIDDEN TEXT] with your updated CV. Only shortlisted candidates will be responded to, therefore if you do not receive a response within 14 days, please accept this as notification that you have not been shortlisted. Morgan McKinley Pte Ltd EA Licence No: 11C5502 | EAP Registration No: R2095054