March 19, 2023
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Singapore, Singapore, Singapore
March 19, 2023
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Job Scope
Job Description & Requirements
Job Description & Requirements
- Design and implement relevant data models in the form of data marts stored in Operational Data Stores, Data Warehouses or Big Data platforms
- Build data pipelines to bring information from source systems, harmonise and cleanse data to support analytics initiatives for core business metrics and performance trends.
- Perform data profiling to understand data quality and advise practical measures to address such data issues through data transformation and data loading
- Dive into company data to identify sources and features that will drive business objectives.
- 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
- Bring your experience and ideas to effective and innovative engineering, design, and strategy
- Work in interdisciplinary teams that combine technical, business and data science competencies that deliver work in waterfall or agile software development lifecycle methodologies
- The range of accountability, responsibility and autonomy will depend on your experience and seniority, including:Contributing to our internal networks and special interest groups Mentoring to upskill peers and juniors
- Diploma / Degree in Computer Science / Computer Engineering / Information Technology related field, or IT equivalent.
- Minimum of 3 years’ experience in building large scale enterprise data pipelines using commercial and/or open-source data management tools from vendors such as Informatica, Talend, Microsoft, IBM or Oracle
- Strong knowledge of data manipulation languages such as SQL necessary to build and maintain complex queries and data pipelines
- Practical appreciation of data q/quality metrics and remediation strategies
- Data modelling and architecting skills including strong foundation in data warehousing concepts, data normalisation, and dimensional data modelling such as OLAP
- Undergraduate or graduate degree in Computer science or equivalent
- Possess good communications skills to understand our customers' core business objectives and build end-to-end data centric solutions to address them
- Good critical thinking and problem-solving abilities
- Experience with other aspects of data management such as data governance, metadata management, archival, data lifecycle management
- Processing of semi-structured and unstructured data sets such as NoSQL, graph and Hadoop based data storage technologies such as MongoDB, Cassandra, HBase, Hortonworks/Cloudera, Elastic Search and Neo4j using Spark, Splunk or Apache Nifi for batch or streaming data
- 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 such as:
- AWS serverless architecture in Lambda on AWS DynamoDB, EMR Redshift
- Azure Data Factory or SQL Data Warehouse
- GCP BigQuery/BigTable, Cloud Dataprep/Dataflow/Dataproc
