Job Description
- 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, guiding the SAS interns of the team
Job Requirements
- 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
- 3 years of relevant IT software experience relating to data integration/ETL and data warehousing implementation. Experience needs to include data mapping, ETL development and testing.
- Mininum 2 years development experience with implementing ETL solution in SAS Data Integrator.
- Hands-on experience for other SAS Tools will be an added advantage
- SAS Enterprise Miner
- SAS Enterprise Guide
- SAS Visual Analytics
- SAS Viya
- Has knowledge in Windows and Unix environments
- Ability to be flexible enough to work for extended hours and on weekends as needed to handle high priority issues, production recoveries, provide support to infrastructure releases.
- Possesses excellent communication skills and demonstrates ability to communicate effectively with both technical and non-technical individuals.
- Good Team Player, quick learner and self-starter who requires minimal supervision
- 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
- Familiar with other Big Data platforms and/or other ETL tools and products on the market
Interested applicants, please Email , and look for
John (Joax) Wong
Recruit Express Pte Ltd
EA License No. 99C4599
EA Personnel Registration Number: R23117179
We regret that only shortlisted candidates will be contacted.
