Sas Programmer

2 weeks ago

Singapore QuEST Global Services Full time

With familiarity with the SAS platforms and products, this role requires the ability to translate business and technical requirements into data interfaces, data transformation jobs and design data models that powers self-service analytics or AI projects. To support this, you may also need to establish data management processes such as data governance, data cataloguing, security/privacy classification and advise our clients on the collection, storage and consumption of information in their organisations.

**Responsibilities**:

- 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
- 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
- **7 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.
- **Minimum 3 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 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 mínimal supervision
- Experience with other aspects of data management such as data governance, metadata management, archival, data lifecycle management
- Familiar with other Big Data platforms and/or other ETL tools and products on the market
- A bachelor degree or higher (in Computer Science, Statistics/Mathematics, Computing or equivalent) with strong academic performance

**Job Type**: Contract
Contract length: 12 months

**Salary**: $6,500.00 - $8,000.00 per month

Schedule:

- Day shift
- Monday to Friday

Supplemental pay types:

- Yearly bonus

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